A Survey on Federated Learning Systems Vision, Hype and Reality for Data Privacy and Protection.pdf
•
0 likes•3 views
https://okokprojects.com/ IEEE PROJECTS 2023-2024 TITLE LIST WhatsApp : +91-8144199666 From Our Title List the Cost will be, Mail Us: okokprojects@gmail.com Website: : https://www.okokprojects.com : http://www.ieeeproject.net Support Including Packages ======================= * Complete Source Code * Complete Documentation * Complete Presentation Slides * Flow Diagram * Database File * Screenshots * Execution Procedure * Video Tutorials * Supporting Softwares Support Specialization ======================= * 24/7 Support * Ticketing System * Voice Conference * Video On Demand * Remote Connectivity * Document Customization * Live Chat Support
Report
Share
Report
Share
Download to read offline
Recommended
System Adoption: Socio-Technical Integration
System Adoption: Socio-Technical IntegrationThe International Journal of Business Management and Technology
In this case study we identify the factors that influence the adoption of a new system in a major company in Saudi Arabia. We develop a theoretical framework to help derive better understanding of system adoption via socio-technical integration.
We formulation of 14 hypotheses that were tested via a survey of 42 system users. Management support and change management were found to be significant factors influencing system adoption. As a result, the 14 null hypotheses were rejected due to their statistical significance (p-value < 0.05). Discussions and recommendations for future research are discussed.FEDERATED LEARNING FOR PRIVACY-PRESERVING: A REVIEW OF PII DATA ANALYSIS IN F...
There has been tremendous growth in the field of AI and machine learning. The developments across these
fields have resulted in a considerable increase in other FinTech fields. Cyber security has been described
as an essential part of the developments associated with technology. Increased cyber security ensures that
people remain protected, and that data remains safe. New methods have been integrated into developing AI
that achieves cyber security. The data analysis capabilities of AI and its cyber security functions have
ensured that privacy has increased significantly. The ethical concept associated with data privacy has also
been advocated across most FinTech regulations. These concepts and considerations have all been
engaged with the need to achieve the required ethical requirements. The concept of federated learning is a
recently developed measure that achieves the abovementioned concept. It ensured the development of AI
and machine learning while keeping privacy in data analysis. The research paper effectively describes the
issue of federated learning for confidentiality. It describes the overall process associated with its
development and some of the contributions it has achieved. The widespread application of federated
learning in FinTech is showcased, and why federated learning is essential for overall growth in FinTech.
Clustering and sequential pattern mining of online collaborative learning dat...
The document discusses using data mining techniques like clustering and sequential pattern mining to analyze data from online collaborative learning groups. The goal is to develop "mirroring tools" that can provide groups and their facilitators with useful insights into aspects of the group's behavior that are associated with positive or negative outcomes. The study focuses on data from a senior software development project where student groups used a collaboration tool called TRAC. Patterns were identified that distinguished better performing groups from weaker ones, providing insights into success factors. Some key measures could be mined from early data, showing promise for advising groups and identifying effective and poor practices early enough for remediation.
Content tagging and recommender systems
This capstone report analyzes how user-generated metadata can enhance findability in social software applications like content tagging and recommender systems. The report examines these systems' strengths and weaknesses for information classification, retrieval, and discovery. Based on an analysis of six system-factor combinations, the report finds that content tagging systems have stronger overall findability than recommender systems, particularly for information classification. However, recommender systems exhibit strengths for information discovery. The report provides examples of content tagging and recommender systems to illustrate different design approaches.
Virtual Collaboration Lit Review
The document discusses virtual collaboration and presents frameworks for analyzing literature on the topic. It defines virtual collaboration as cooperative work undertaken through information and communication technologies. The document outlines ways literature on virtual collaboration has been organized, including by level of analysis, themes, subtopics and methods. It also presents examples of virtual collaborations in open-source software development and e-science. Finally, it proposes a preliminary theoretical model and questions for further research on factors that affect social structure and success in virtual collaborations.
The influence of information technology capability, organizational learning, ...
This document reports on a study that examined the influence of information technology capability, organizational learning, and knowledge management capability on organizational performance in banking branches in Southern Kalimantan Province, Indonesia. The study hypothesized that information technology capability positively impacts organizational learning, knowledge management capability, and organizational performance. It also hypothesized that organizational learning positively impacts knowledge management capability and organizational performance. Survey data were collected from 69 banking branches and analyzed using partial least squares. The results supported most of the hypotheses, finding significant positive relationships between the variables except for the relationship between organizational learning and knowledge management capability.
Knowledge Maturing and the Participatory Enterprise
The document discusses moving from top-down approaches to bottom-up approaches for learning in organizations. It proposes a model of "knowledge maturing" where learning emerges from collaboration and sharing of ideas between employees. To support this, it advocates using social and participatory technologies like wikis, tagging, and personal learning environments. The MATURE project aims to provide empirical validation and technical solutions for knowledge maturing through social learning networks in organizations.
Privacy and Cryptographic Security Issues within Mobile Recommender Syste...
The document discusses privacy and security issues with recommender systems as they become more contextual and utilize deep learning techniques. It proposes that as recommender systems are able to analyze more user data through cloud computing, there are increased risks of privacy breaches and data hacking. The researchers conducted a survey that found professionals have significant concerns about emerging technologies, privacy/security of recommender systems, and mobile device security. They propose further research into cryptographic methods like homomorphic encryption that could help secure user data processed by recommender systems.
Recommended
System Adoption: Socio-Technical Integration
System Adoption: Socio-Technical IntegrationThe International Journal of Business Management and Technology
In this case study we identify the factors that influence the adoption of a new system in a major company in Saudi Arabia. We develop a theoretical framework to help derive better understanding of system adoption via socio-technical integration.
We formulation of 14 hypotheses that were tested via a survey of 42 system users. Management support and change management were found to be significant factors influencing system adoption. As a result, the 14 null hypotheses were rejected due to their statistical significance (p-value < 0.05). Discussions and recommendations for future research are discussed.FEDERATED LEARNING FOR PRIVACY-PRESERVING: A REVIEW OF PII DATA ANALYSIS IN F...
There has been tremendous growth in the field of AI and machine learning. The developments across these
fields have resulted in a considerable increase in other FinTech fields. Cyber security has been described
as an essential part of the developments associated with technology. Increased cyber security ensures that
people remain protected, and that data remains safe. New methods have been integrated into developing AI
that achieves cyber security. The data analysis capabilities of AI and its cyber security functions have
ensured that privacy has increased significantly. The ethical concept associated with data privacy has also
been advocated across most FinTech regulations. These concepts and considerations have all been
engaged with the need to achieve the required ethical requirements. The concept of federated learning is a
recently developed measure that achieves the abovementioned concept. It ensured the development of AI
and machine learning while keeping privacy in data analysis. The research paper effectively describes the
issue of federated learning for confidentiality. It describes the overall process associated with its
development and some of the contributions it has achieved. The widespread application of federated
learning in FinTech is showcased, and why federated learning is essential for overall growth in FinTech.
Clustering and sequential pattern mining of online collaborative learning dat...
The document discusses using data mining techniques like clustering and sequential pattern mining to analyze data from online collaborative learning groups. The goal is to develop "mirroring tools" that can provide groups and their facilitators with useful insights into aspects of the group's behavior that are associated with positive or negative outcomes. The study focuses on data from a senior software development project where student groups used a collaboration tool called TRAC. Patterns were identified that distinguished better performing groups from weaker ones, providing insights into success factors. Some key measures could be mined from early data, showing promise for advising groups and identifying effective and poor practices early enough for remediation.
Content tagging and recommender systems
This capstone report analyzes how user-generated metadata can enhance findability in social software applications like content tagging and recommender systems. The report examines these systems' strengths and weaknesses for information classification, retrieval, and discovery. Based on an analysis of six system-factor combinations, the report finds that content tagging systems have stronger overall findability than recommender systems, particularly for information classification. However, recommender systems exhibit strengths for information discovery. The report provides examples of content tagging and recommender systems to illustrate different design approaches.
Virtual Collaboration Lit Review
The document discusses virtual collaboration and presents frameworks for analyzing literature on the topic. It defines virtual collaboration as cooperative work undertaken through information and communication technologies. The document outlines ways literature on virtual collaboration has been organized, including by level of analysis, themes, subtopics and methods. It also presents examples of virtual collaborations in open-source software development and e-science. Finally, it proposes a preliminary theoretical model and questions for further research on factors that affect social structure and success in virtual collaborations.
The influence of information technology capability, organizational learning, ...
This document reports on a study that examined the influence of information technology capability, organizational learning, and knowledge management capability on organizational performance in banking branches in Southern Kalimantan Province, Indonesia. The study hypothesized that information technology capability positively impacts organizational learning, knowledge management capability, and organizational performance. It also hypothesized that organizational learning positively impacts knowledge management capability and organizational performance. Survey data were collected from 69 banking branches and analyzed using partial least squares. The results supported most of the hypotheses, finding significant positive relationships between the variables except for the relationship between organizational learning and knowledge management capability.
Knowledge Maturing and the Participatory Enterprise
The document discusses moving from top-down approaches to bottom-up approaches for learning in organizations. It proposes a model of "knowledge maturing" where learning emerges from collaboration and sharing of ideas between employees. To support this, it advocates using social and participatory technologies like wikis, tagging, and personal learning environments. The MATURE project aims to provide empirical validation and technical solutions for knowledge maturing through social learning networks in organizations.
Privacy and Cryptographic Security Issues within Mobile Recommender Syste...
The document discusses privacy and security issues with recommender systems as they become more contextual and utilize deep learning techniques. It proposes that as recommender systems are able to analyze more user data through cloud computing, there are increased risks of privacy breaches and data hacking. The researchers conducted a survey that found professionals have significant concerns about emerging technologies, privacy/security of recommender systems, and mobile device security. They propose further research into cryptographic methods like homomorphic encryption that could help secure user data processed by recommender systems.
Learner Ontological Model for Intelligent Virtual Collaborative Learning Envi...
An enacting approach to intelligent virtual collaborative learning model is explored through the lens of critical ontology. This ontological model enables to reuse of the domain knowledge and to make the knowledge explicitly available to the agent working as an Expert System, which uses the operational knowledge in collaborative learning environment. This ontological model used by the agent to identify the preliminary competency level of the user. This environment offers personalized education to each learner in accordance with his/her learning preferences, and learning capabilities. Here the factors considered to identify the learning capability taken are demographic profile, age, family profile, basic educational qualification and basic competency scale. The conception of heuristics is then used by the agent to determine the effectiveness of the learner by referring the different parameters of the learner available in the ontological model.To help getting over this, the paper describes the experience on using an ontological model for collaborative learning to relate and integrate the history of the learner by maintaining the history of learner in collaborative learning environment that will be used by the Multi-Objective Grey Situation Decision Making Theory to infer the understanding level of user and produces the conditional content to the user
Multi-Dimensional Privacy Protection for Digital Collaborations.
In order to sustain privacy in digital collaborative environments a comprehensive multidimensional privacy protecting framework is required. Such information privacy solutions for collaborations must incorporate environmental factors and influences in order to provide a holistic information privacy solution. Our Technical, Legal, and Community Privacy Protecting (TLC-PP) framework addresses the problems associated with the multi-facetted notion of privacy. The three key components of the TLC-PP framework are merged together to provide complete solutions for collaborative environment stakeholders and users alike. The application of the TLC-PP framework provides a significant contribution to the delivery of a Privacy Augmented Collaborative Environment (PACE).
Modeling Communities in Information Systems: Informal Learning Communities in...
This document outlines Zinayida Kensche's doctoral thesis defense on modeling informal learning communities in social media. It discusses her research questions, methodology, and key technical contributions. Her work developed models and tools for conceptualizing, monitoring, and analyzing informal learning communities through social media data analysis and agent-based modeling techniques. She addressed how to understand community dynamics, needs, and evolution over time to better support lifelong learning.
Essay On Listening Skills
How to Improve English Listening Skills Essay Example | StudyHippo.com. Listening as the Most Used Communication Skill Essay Example | Topics .... Emergent Literacy: All About Listening Skills - Rae Pica. Essay about active listening images. Define Listening Skills and its Types | What are the 8 barriers to .... CERVANTES ENGLISH CORNER: LET'S IMPROVE OUR LISTENING SKILLS!!!!. Children's Listening Skills Essay Example | Topics and Well Written .... The Importance of Teaching Listening and Speaking Skills Free Essay Example. Being a good listener and an effective presenter are two key skills a…. Listening skill. Reflective Essay On Listening Skills – Telegraph. Developing Listening and Speaking Skills Essay Example | Topics and .... Listening Skills. Great Ideas for Teaching Listening Skills in the ESL Classroom | ITTT TEFL BLOG. Effective Listening Skills - How to improve your listening skills. Listening Skills Essay. Six Ways to Develop Your Listening Skills - Steve Gutzler. Essay on active listening skills - illustrationessays.web.fc2.com. ≫ Importance of Listening Skills in Language Learning Free Essay Sample .... Essay listening is learning / mycorezone.com. Active Listening Essay | Teachers | Classroom Management. Listening Note-Taking methods / strategies - Academic English UK. Listening Skills and Listening Process Essay Example | Topics and Well .... Importance of Listening Skills Essay Example | Topics and Well Written .... 10 steps to effective listening | General | Good listening skills .... Listening Skills - Lecture notes 3 - LISTENING SKILLS Listening is the .... 49 Improving Listening Skills | Thoughtful Learning K-12. Listening essay - dissertationguides.web.fc2.com. Essay On Importance Of Effective Listening, HD Png Download - kindpng Essay On Listening Skills
System Dynamics Modeling for IntellectualDisability Services.docx
System Dynamics Modeling for Intellectual
Disability Services: A Case Studyjppi_342 112..119
Meri Duryan*,†, Dragan Nikolik‡, Godefridus van Merode§, and Leopold Curfs*,§
*Gouverneur Kremers Centrum; †University of Maastricht; ‡Maastricht School of Management; and §Maastricht University Medical
Center, Maastricht, the Netherlands
Abstract Organizations providing services to persons with intellectual disabilities (ID) are complex because of many interacting
stakeholders with often different and competing interests. The combination of increased consumer demand and diminished resources
makes organizational planning a challenge for the managers of such organizations. Such challenges are confounded by significant
demands for the optimization of resources and the goal to reduce expenses and to more effectively and efficiently use existing
resources while at the same time providing high quality services. The authors explore the possibilities of using “system dynamics
modelling” in organizational decision-making processes related to resource allocations. System dynamics suggests the application of
generic systems archetypes as a first step in interpreting complex situations in an organization. The authors illustrate the application
of this method via a case study in one provider organization in the Netherlands. The authors contend that such a modeling approach
can be used by the management of similar organizations serving people with ID as a tool to support decision making that can result
in optimal resource allocation.
Keywords: allocation of resources, intellectual disabilities, system dynamics modeling, systems thinking, waiting lists
INTRODUCTION
Healthcare organizations are complex entities as they have
multiple stakeholders with often conflicting objectives and goals
(Drucker, 1993). Provider organizations specializing in intellec-
tual disabilities (ID) are also complex because of the nature of the
care and supports they provide and how they are organized. Some
of the complexities relate to the difficulties that adults with ID
might have in expressing themselves. Moreover, the specifics of
the care often require a deeper involvement of carers with respect
to their relationships with families and other sectors of society.
Because of their complexity, ID provider organizations, com-
pared with healthcare providers, often require a higher level of
resource planning, collaboration, and cooperation among social,
health, and education services, mental health services, and other
sectors (WHO, 2010).
To manage the complexities and challenges ID provider orga-
nizations face, managers need to analyze and understand complex
interdependencies among the systems with which they are dealing.
In order to achieve that, ID provider managers need to examine
and shift their mental models regarding their role in managing
the organization and in establishing relationships with all the
stakeholders involved. However, as Forrester (1980) has noted,
traditiona.
Invited Paper – EDSIGCON 2017 Keynote Reflections on the Cur.docx
Invited Paper – EDSIGCON 2017 Keynote
Reflections on the Current State and Future of Information
Systems Education
Heikki Topi
Bentley University
Waltham, MA 02452, USA
[email protected]
ABSTRACT
This essay discusses the current state of and potential future directions for information systems education structured around
several key themes that have emerged as central in several large-scale IS education initiatives over the past 15 years. The core
idea that connects all of these themes is the centrality of IS as a transformative enabler for virtually all goal-directed human
activities. The essay emphasizes the role of IS as the initial integrative discipline that for decades has prepared its students to
identify opportunities to fundamentally change multiple target domains with computational capabilities. Furthermore, the
discussion recognizes the distinctive focus of IS on bringing multiple technologies together into systems that serve organizational
and societal goals and underscores the responsibility to carefully consider implications and potential consequences of technology-
based solutions. The essay also acknowledges the essential roles of formal quality assurance mechanisms (such as accreditation)
and education-focused research as essential resources for the future of the discipline.
Keywords: IS education, Competency, IS education research, Computing education, IS environment
1. INTRODUCTION
I am honored and humbled to have this opportunity to reflect
on the state of information systems (IS) education and offer
some thoughts about the future of our field. The most
important role of the information systems community is to
educate new generations of professionals whose work focuses
on the use of information systems to transform the ways in
which organizations and societies are structured and operate to
achieve their goals. There is no better way for us to have an
impact on the world in which we live than by being the best
coach, mentor, and facilitator of learning for our students. For
a variety of reasons, it is now more important than ever to
ensure that we offer our students educational experiences that
are both effective and comprehensive, reaching from technical
expertise to new business models and values-based ethical
analysis of impact.
Never in the history of civilization has a set of
technologies had as profound a potential to change the world
as systems based on information technologies have right now.
Information systems have a truly fundamental role in the lives
of all individuals, organizations, and societies, whether or not
they recognize it. This is closely associated with the rapidly
changing world of work, where artificial intelligence and IT-
driven automation is changing job roles and relevancy of
various professions at a pace that often exceeds the human
capability to adapt. At the same time, physical and digital
systems are increasingly fully integrated, and the action.
Effects of Developers’ Training on User-Developer Interactions in Information...
The importance of user-developer interactions during the development of an information system has been a long-running theme in information systems research. This research seeks to highlight a gap in the current literature: the contribution of the developer’s formal educational background to the relationship between developers and users. Using an interpretivist epistemology, the researchers employed qualitative interviews to examine how far developers’ perception of the importance of interacting with the user was influenced by their formal education, or the lack thereof. Interviewing both formally and informally trained developers, eleven categories of interest were identified as pertinent to determining the developers’ beliefs about the importance of user interaction. Three of these categories were explored as promising for future research: academic background, work experience, and developer’s access to user knowledge. This research has implications for education of information systems developers as well as for industry interested in hiring software developers.
Team Formation Dynamics and Preferences in Online Courses
Published by Milad Eftekhar (Department of Computer Science, University of Toronto), Farnaz Ronaghi (Department of Management, Science and Engineering, Stanford University), and Amin Saberi (Department of Management, Science and Engineering, Stanford University) and sponsored by NovoEd.
Using data from online courses, we study the dynamics of team formation in online environments. In particular, we observe that the teams formed by online students for completing course projects are homogeneous in terms of age, location and education level but diverse in terms of primary skill. Motivated by the data, we propose a coalitional game that captures the teaming preferences of individuals and show that the core of the resulting game is always non- empty. Even though our proof is constructive, it does not always yield a polynomial-time algorithm. We show that it is NP-hard to find a solution in the core in the general case and propose polynomial-time algorithms for natural special cases motivated by observations of online course data.
Algorithms, Measurement, Theory, Team Formation; Online Education; Social Learning; Core of Collaborative Games
Multi-Tier Sentiment Analysis System in Big Data Environment
The document proposes a multi-tier sentiment analysis system called MSABDP to analyze large-scale social media data more efficiently. MSABDP uses Hadoop for its distributed processing and storage capabilities. It collects Twitter data using Apache Flume and stores it in HDFS. It then applies a multi-tier classification approach combining lexicon-based and machine learning techniques to classify tweets into multiple sentiment classes, reducing complexity compared to single-tier architectures. Evaluation on real Twitter data showed MSABDP improved classification accuracy over single-tier approaches by 7%.
A DEVELOPMENT FRAMEWORK FOR A CONVERSATIONAL AGENT TO EXPLORE MACHINE LEARNIN...
This study aims to introduce a discussion platform and curriculum designed to help people understand how
machines learn. Research shows how to train an agent through dialogue and understand how information
is represented using visualization. This paper starts by providing a comprehensive definition of AI literacy
based on existing research and integrates a wide range of different subject documents into a set of key AI
literacy skills to develop a user-centered AI. This functionality and structural considerations are organized
into a conceptual framework based on the literature. Contributions to this paper can be used to initiate
discussion and guide future research on AI learning within the computer science community.
SEMANTIC ANALYSIS OVER LESSONS LEARNED CONTAINED IN SOCIAL NETWORKS FOR GENER...
This paper shows the construction of an organizational memory metamodel focused on R&D centers. The metamodel uses lessons learned extracted from corporative social networks; the metamodel aims to promote learning and management of organizational knowledge at these types of organizations. The analysis is applied initially from lessons learned on topics of R&D in the Spanish language. The metamodel use natural languages processing together with ontologies
for analyze the semantic and lexical the each lesson learned. The final result involves a knowledge base integrated by RDF files interrogated by SPARQL queries.
Semantic Analysis Over Lessons Learned Contained in Social Networks for Gener...
This paper shows the construction of an organizatio
nal memory metamodel focused on R&D
centers. The metamodel uses lessons learned extract
ed from corporative social networks; the
metamodel aims to promote learning and management o
f organizational knowledge at these
types of organizations. The analysis is applied ini
tially from lessons learned on topics of R&D
in Spanish language. The metamodel use natural lang
uages processing together with ontologies
for analyze the semantic and lexical the each lesso
n learned. The final result involves a
knowledge base integrated by RDF files interrogated
by SPARQL queries.
3 p model
This document discusses the 3P learning model, which consists of three main elements: personalization, participation, and knowledge-pull. Personalization involves tailoring the learning experience to individual learners. Participation recognizes that learning is social and emphasizes knowledge sharing within social contexts. Knowledge-pull shifts the focus from knowledge being pushed by institutions to learners navigating toward knowledge. The document argues this model better reflects the personal, social, open, emergent, and knowledge-driven nature of modern learning.
Educational Data Mining/Learning Analytics issue brief overview
An overview of the Draft Issue Brief prepared by SRI International for the US Department of Education on Educational Data Mining and Learning Analytics
P11 goonetilleke
This document discusses challenges and opportunities in managing large volumes of Twitter data for analytics purposes. It reviews existing approaches for collecting, storing, and querying Twitter data, noting that current systems operate in silos and calling for a unified framework. The paper surveys tools for data collection, data management frameworks, and languages for querying tweets, with the goal of informing the development of an integrated Twitter data management solution.
On the benefit of logic-based machine learning to learn pairwise comparisons
This document describes a study that used a logic-based machine learning approach called APARELL to learn user preferences from pairwise comparisons in a recommender system. APARELL learns description logic rules from examples of users' pairwise item preferences and background knowledge about item properties. It was implemented in a used car recommender system. A user study evaluated the pairwise preference elicitation method compared to a standard list interface. Results showed the pairwise interface was significantly better in recommending items that matched users' preferences.
Klibel5 acc 39_
This study examines the impact of learning orientation dimensions on the relationship between information technology capability and the quality of management accounting information, with technological uncertainty as a moderating variable. The study found that commitment to learning, shared vision, and open-mindedness positively impact information technology capability. It also found that information technology capability positively impacts the quality of management accounting information. However, it did not find technological uncertainty to moderate the relationship between information technology capability and the quality of management accounting information. The study was limited by a lack of data connection between variables.
Exploring Enterprise Mobility
This document summarizes key lessons from 11 qualitative studies of enterprise mobility conducted between 2001-2007. It explores six aspects of how mobile information technology impacts organizations:
1. Interaction - Mobile IT can mediate remote interactions by removing time/space constraints, or support situated interactions by enabling work to be done in specific locations while maintaining remote access.
2. Management of work - Mobile IT can increase organizational control over employees or give individuals more discretion over how and when they work.
3. Collaboration - Mobile IT can support either individual or collective work arrangements.
4. Technology use - Mobile IT can be ubiquitous and transparent in everyday use, or opaque and requiring conscious engagement.
5. Impact on practices
RUNNING HEADER Analytics Ecosystem1Analytics Ecosystem4.docx
RUNNING HEADER: Analytics Ecosystem 1
Analytics Ecosystem 4
Analytics Ecosystem
Lisa Garay
Rasmussen College
Authors Note
This paper is being submitted for Anastasia Rashtchian’s B288 Business Analytics Course.
This paper looks at the nine clusters of the ecosystem. Clustering refers to a system of grouping functions that are similar so as to set them out from others. It begins by highlighting them before proceeding to defining them. It then identifies clusters that represent technology developers and technology users. Peer reviewed materials are used in this endeavor.
They include executive sponsor cluster which contains information that concerns administrators for directing the system. Another one is end-user tools and dashboards cluster that is made of functions that facilitate ability of persons to ultimately engage the system. Data owners cluster is made up of programs that are related to persons who have data in the system. Business users’ cluster is made up of functions that are related to clients of the system. Business applications and systems cluster is made up programs related to features of a given system. Developers cluster is made of programs that are related to the development of programs in the system. Analyst cluster is made up of materials that are related to analysis of data in the system. SME cluster that is made up switches that run SME applications in the system. Lastly, operational data stores that are made up of programs that are concerned with storage of data in a system (Pitelis, 2012).
While developers cluster is made up of technology developers in the system, business users’ cluster is made up of technology users in the system. In conclusion, clustering serves to bring roles together as well as separating roles that are not related in a system (Cameron, Gelbach & Miller, 2012).
They can be represented as follows:-
References
Cameron, A. C., Gelbach, J. B., & Miller, D. L. (2012). Robust inference with multiway clustering. Journal of Business & Economic Statistics.
Pitelis, C. (2012). Clusters, entrepreneurial ecosystem co-creation, and appropriability: a conceptual framework. Industrial and Corporate Change, dts008.
Infrastructure
Executive Sponsor Cluster
End-user tools and dashboards cluster
operational data stores
Data Owners Cluster
Business users' cluster
Business systems and applications cluster
Developers Cluster
Analysts Cluster
SME cluster
4
Running head: Sentiment analysis
Sentiment Analysis
Lisa Garay
Rasmussen College
Authors Note
This paper is being submitted for Anastashia Rashtcian’s B288 Business Analytics course.
Sentiment analysis has played a significant role in the concurrent marketing field, specifically in product marketing. According to Somasundaran, Swapna, (2010), the process’ operational module is structured on a data mining sequence, whereby the end users of given particulars the feedback pertaining a used.
Collaborative Learning of Organisational Knolwedge
This paper presents recent research into methods used in Australian Indigenous Knowledge sharing and looks at how these can support the creation of suitable collaborative envi- ronments for timely organisational learning. The protocols and practices as used today and in the past by Indigenous communities are presented and discussed in relation to their relevance to a personalised system of knowledge sharing in modern organisational cultures. This research focuses on user models, knowledge acquisition and integration of data for constructivist learning in a networked repository of or- ganisational knowledge. The data collected in the repository is searched to provide collections of up-to-date and relevant material for training in a work environment. The aim is to improve knowledge collection and sharing in a team envi- ronment. This knowledge can then be collated into a story or workflow that represents the present knowledge in the organisation.
Distributed State Estimation With Deep Neural Networks for Uncertain Nonlinea...
https://okokprojects.com/
IEEE PROJECTS 2023-2024 TITLE LIST
WhatsApp : +91-8144199666
From Our Title List the Cost will be,
Mail Us: okokprojects@gmail.com
Website: : https://www.okokprojects.com
: http://www.ieeeproject.net
Support Including Packages
=======================
* Complete Source Code
* Complete Documentation
* Complete Presentation Slides
* Flow Diagram
* Database File
* Screenshots
* Execution Procedure
* Video Tutorials
* Supporting Softwares
Support Specialization
=======================
* 24/7 Support
* Ticketing System
* Voice Conference
* Video On Demand
* Remote Connectivity
* Document Customization
* Live Chat Support
Distributed Inference in Resource-Constrained IoT for Real-Time Video Surveil...
https://okokprojects.com/
IEEE PROJECTS 2023-2024 TITLE LIST
WhatsApp : +91-8144199666
From Our Title List the Cost will be,
Mail Us: okokprojects@gmail.com
Website: : https://www.okokprojects.com
: http://www.ieeeproject.net
Support Including Packages
=======================
* Complete Source Code
* Complete Documentation
* Complete Presentation Slides
* Flow Diagram
* Database File
* Screenshots
* Execution Procedure
* Video Tutorials
* Supporting Softwares
Support Specialization
=======================
* 24/7 Support
* Ticketing System
* Voice Conference
* Video On Demand
* Remote Connectivity
* Document Customization
* Live Chat Support
More Related Content
Similar to A Survey on Federated Learning Systems Vision, Hype and Reality for Data Privacy and Protection.pdf
Learner Ontological Model for Intelligent Virtual Collaborative Learning Envi...
An enacting approach to intelligent virtual collaborative learning model is explored through the lens of critical ontology. This ontological model enables to reuse of the domain knowledge and to make the knowledge explicitly available to the agent working as an Expert System, which uses the operational knowledge in collaborative learning environment. This ontological model used by the agent to identify the preliminary competency level of the user. This environment offers personalized education to each learner in accordance with his/her learning preferences, and learning capabilities. Here the factors considered to identify the learning capability taken are demographic profile, age, family profile, basic educational qualification and basic competency scale. The conception of heuristics is then used by the agent to determine the effectiveness of the learner by referring the different parameters of the learner available in the ontological model.To help getting over this, the paper describes the experience on using an ontological model for collaborative learning to relate and integrate the history of the learner by maintaining the history of learner in collaborative learning environment that will be used by the Multi-Objective Grey Situation Decision Making Theory to infer the understanding level of user and produces the conditional content to the user
Multi-Dimensional Privacy Protection for Digital Collaborations.
In order to sustain privacy in digital collaborative environments a comprehensive multidimensional privacy protecting framework is required. Such information privacy solutions for collaborations must incorporate environmental factors and influences in order to provide a holistic information privacy solution. Our Technical, Legal, and Community Privacy Protecting (TLC-PP) framework addresses the problems associated with the multi-facetted notion of privacy. The three key components of the TLC-PP framework are merged together to provide complete solutions for collaborative environment stakeholders and users alike. The application of the TLC-PP framework provides a significant contribution to the delivery of a Privacy Augmented Collaborative Environment (PACE).
Modeling Communities in Information Systems: Informal Learning Communities in...
This document outlines Zinayida Kensche's doctoral thesis defense on modeling informal learning communities in social media. It discusses her research questions, methodology, and key technical contributions. Her work developed models and tools for conceptualizing, monitoring, and analyzing informal learning communities through social media data analysis and agent-based modeling techniques. She addressed how to understand community dynamics, needs, and evolution over time to better support lifelong learning.
Essay On Listening Skills
How to Improve English Listening Skills Essay Example | StudyHippo.com. Listening as the Most Used Communication Skill Essay Example | Topics .... Emergent Literacy: All About Listening Skills - Rae Pica. Essay about active listening images. Define Listening Skills and its Types | What are the 8 barriers to .... CERVANTES ENGLISH CORNER: LET'S IMPROVE OUR LISTENING SKILLS!!!!. Children's Listening Skills Essay Example | Topics and Well Written .... The Importance of Teaching Listening and Speaking Skills Free Essay Example. Being a good listener and an effective presenter are two key skills a…. Listening skill. Reflective Essay On Listening Skills – Telegraph. Developing Listening and Speaking Skills Essay Example | Topics and .... Listening Skills. Great Ideas for Teaching Listening Skills in the ESL Classroom | ITTT TEFL BLOG. Effective Listening Skills - How to improve your listening skills. Listening Skills Essay. Six Ways to Develop Your Listening Skills - Steve Gutzler. Essay on active listening skills - illustrationessays.web.fc2.com. ≫ Importance of Listening Skills in Language Learning Free Essay Sample .... Essay listening is learning / mycorezone.com. Active Listening Essay | Teachers | Classroom Management. Listening Note-Taking methods / strategies - Academic English UK. Listening Skills and Listening Process Essay Example | Topics and Well .... Importance of Listening Skills Essay Example | Topics and Well Written .... 10 steps to effective listening | General | Good listening skills .... Listening Skills - Lecture notes 3 - LISTENING SKILLS Listening is the .... 49 Improving Listening Skills | Thoughtful Learning K-12. Listening essay - dissertationguides.web.fc2.com. Essay On Importance Of Effective Listening, HD Png Download - kindpng Essay On Listening Skills
System Dynamics Modeling for IntellectualDisability Services.docx
System Dynamics Modeling for Intellectual
Disability Services: A Case Studyjppi_342 112..119
Meri Duryan*,†, Dragan Nikolik‡, Godefridus van Merode§, and Leopold Curfs*,§
*Gouverneur Kremers Centrum; †University of Maastricht; ‡Maastricht School of Management; and §Maastricht University Medical
Center, Maastricht, the Netherlands
Abstract Organizations providing services to persons with intellectual disabilities (ID) are complex because of many interacting
stakeholders with often different and competing interests. The combination of increased consumer demand and diminished resources
makes organizational planning a challenge for the managers of such organizations. Such challenges are confounded by significant
demands for the optimization of resources and the goal to reduce expenses and to more effectively and efficiently use existing
resources while at the same time providing high quality services. The authors explore the possibilities of using “system dynamics
modelling” in organizational decision-making processes related to resource allocations. System dynamics suggests the application of
generic systems archetypes as a first step in interpreting complex situations in an organization. The authors illustrate the application
of this method via a case study in one provider organization in the Netherlands. The authors contend that such a modeling approach
can be used by the management of similar organizations serving people with ID as a tool to support decision making that can result
in optimal resource allocation.
Keywords: allocation of resources, intellectual disabilities, system dynamics modeling, systems thinking, waiting lists
INTRODUCTION
Healthcare organizations are complex entities as they have
multiple stakeholders with often conflicting objectives and goals
(Drucker, 1993). Provider organizations specializing in intellec-
tual disabilities (ID) are also complex because of the nature of the
care and supports they provide and how they are organized. Some
of the complexities relate to the difficulties that adults with ID
might have in expressing themselves. Moreover, the specifics of
the care often require a deeper involvement of carers with respect
to their relationships with families and other sectors of society.
Because of their complexity, ID provider organizations, com-
pared with healthcare providers, often require a higher level of
resource planning, collaboration, and cooperation among social,
health, and education services, mental health services, and other
sectors (WHO, 2010).
To manage the complexities and challenges ID provider orga-
nizations face, managers need to analyze and understand complex
interdependencies among the systems with which they are dealing.
In order to achieve that, ID provider managers need to examine
and shift their mental models regarding their role in managing
the organization and in establishing relationships with all the
stakeholders involved. However, as Forrester (1980) has noted,
traditiona.
Invited Paper – EDSIGCON 2017 Keynote Reflections on the Cur.docx
Invited Paper – EDSIGCON 2017 Keynote
Reflections on the Current State and Future of Information
Systems Education
Heikki Topi
Bentley University
Waltham, MA 02452, USA
[email protected]
ABSTRACT
This essay discusses the current state of and potential future directions for information systems education structured around
several key themes that have emerged as central in several large-scale IS education initiatives over the past 15 years. The core
idea that connects all of these themes is the centrality of IS as a transformative enabler for virtually all goal-directed human
activities. The essay emphasizes the role of IS as the initial integrative discipline that for decades has prepared its students to
identify opportunities to fundamentally change multiple target domains with computational capabilities. Furthermore, the
discussion recognizes the distinctive focus of IS on bringing multiple technologies together into systems that serve organizational
and societal goals and underscores the responsibility to carefully consider implications and potential consequences of technology-
based solutions. The essay also acknowledges the essential roles of formal quality assurance mechanisms (such as accreditation)
and education-focused research as essential resources for the future of the discipline.
Keywords: IS education, Competency, IS education research, Computing education, IS environment
1. INTRODUCTION
I am honored and humbled to have this opportunity to reflect
on the state of information systems (IS) education and offer
some thoughts about the future of our field. The most
important role of the information systems community is to
educate new generations of professionals whose work focuses
on the use of information systems to transform the ways in
which organizations and societies are structured and operate to
achieve their goals. There is no better way for us to have an
impact on the world in which we live than by being the best
coach, mentor, and facilitator of learning for our students. For
a variety of reasons, it is now more important than ever to
ensure that we offer our students educational experiences that
are both effective and comprehensive, reaching from technical
expertise to new business models and values-based ethical
analysis of impact.
Never in the history of civilization has a set of
technologies had as profound a potential to change the world
as systems based on information technologies have right now.
Information systems have a truly fundamental role in the lives
of all individuals, organizations, and societies, whether or not
they recognize it. This is closely associated with the rapidly
changing world of work, where artificial intelligence and IT-
driven automation is changing job roles and relevancy of
various professions at a pace that often exceeds the human
capability to adapt. At the same time, physical and digital
systems are increasingly fully integrated, and the action.
Effects of Developers’ Training on User-Developer Interactions in Information...
The importance of user-developer interactions during the development of an information system has been a long-running theme in information systems research. This research seeks to highlight a gap in the current literature: the contribution of the developer’s formal educational background to the relationship between developers and users. Using an interpretivist epistemology, the researchers employed qualitative interviews to examine how far developers’ perception of the importance of interacting with the user was influenced by their formal education, or the lack thereof. Interviewing both formally and informally trained developers, eleven categories of interest were identified as pertinent to determining the developers’ beliefs about the importance of user interaction. Three of these categories were explored as promising for future research: academic background, work experience, and developer’s access to user knowledge. This research has implications for education of information systems developers as well as for industry interested in hiring software developers.
Team Formation Dynamics and Preferences in Online Courses
Published by Milad Eftekhar (Department of Computer Science, University of Toronto), Farnaz Ronaghi (Department of Management, Science and Engineering, Stanford University), and Amin Saberi (Department of Management, Science and Engineering, Stanford University) and sponsored by NovoEd.
Using data from online courses, we study the dynamics of team formation in online environments. In particular, we observe that the teams formed by online students for completing course projects are homogeneous in terms of age, location and education level but diverse in terms of primary skill. Motivated by the data, we propose a coalitional game that captures the teaming preferences of individuals and show that the core of the resulting game is always non- empty. Even though our proof is constructive, it does not always yield a polynomial-time algorithm. We show that it is NP-hard to find a solution in the core in the general case and propose polynomial-time algorithms for natural special cases motivated by observations of online course data.
Algorithms, Measurement, Theory, Team Formation; Online Education; Social Learning; Core of Collaborative Games
Multi-Tier Sentiment Analysis System in Big Data Environment
The document proposes a multi-tier sentiment analysis system called MSABDP to analyze large-scale social media data more efficiently. MSABDP uses Hadoop for its distributed processing and storage capabilities. It collects Twitter data using Apache Flume and stores it in HDFS. It then applies a multi-tier classification approach combining lexicon-based and machine learning techniques to classify tweets into multiple sentiment classes, reducing complexity compared to single-tier architectures. Evaluation on real Twitter data showed MSABDP improved classification accuracy over single-tier approaches by 7%.
A DEVELOPMENT FRAMEWORK FOR A CONVERSATIONAL AGENT TO EXPLORE MACHINE LEARNIN...
This study aims to introduce a discussion platform and curriculum designed to help people understand how
machines learn. Research shows how to train an agent through dialogue and understand how information
is represented using visualization. This paper starts by providing a comprehensive definition of AI literacy
based on existing research and integrates a wide range of different subject documents into a set of key AI
literacy skills to develop a user-centered AI. This functionality and structural considerations are organized
into a conceptual framework based on the literature. Contributions to this paper can be used to initiate
discussion and guide future research on AI learning within the computer science community.
SEMANTIC ANALYSIS OVER LESSONS LEARNED CONTAINED IN SOCIAL NETWORKS FOR GENER...
This paper shows the construction of an organizational memory metamodel focused on R&D centers. The metamodel uses lessons learned extracted from corporative social networks; the metamodel aims to promote learning and management of organizational knowledge at these types of organizations. The analysis is applied initially from lessons learned on topics of R&D in the Spanish language. The metamodel use natural languages processing together with ontologies
for analyze the semantic and lexical the each lesson learned. The final result involves a knowledge base integrated by RDF files interrogated by SPARQL queries.
Semantic Analysis Over Lessons Learned Contained in Social Networks for Gener...
This paper shows the construction of an organizatio
nal memory metamodel focused on R&D
centers. The metamodel uses lessons learned extract
ed from corporative social networks; the
metamodel aims to promote learning and management o
f organizational knowledge at these
types of organizations. The analysis is applied ini
tially from lessons learned on topics of R&D
in Spanish language. The metamodel use natural lang
uages processing together with ontologies
for analyze the semantic and lexical the each lesso
n learned. The final result involves a
knowledge base integrated by RDF files interrogated
by SPARQL queries.
3 p model
This document discusses the 3P learning model, which consists of three main elements: personalization, participation, and knowledge-pull. Personalization involves tailoring the learning experience to individual learners. Participation recognizes that learning is social and emphasizes knowledge sharing within social contexts. Knowledge-pull shifts the focus from knowledge being pushed by institutions to learners navigating toward knowledge. The document argues this model better reflects the personal, social, open, emergent, and knowledge-driven nature of modern learning.
Educational Data Mining/Learning Analytics issue brief overview
An overview of the Draft Issue Brief prepared by SRI International for the US Department of Education on Educational Data Mining and Learning Analytics
P11 goonetilleke
This document discusses challenges and opportunities in managing large volumes of Twitter data for analytics purposes. It reviews existing approaches for collecting, storing, and querying Twitter data, noting that current systems operate in silos and calling for a unified framework. The paper surveys tools for data collection, data management frameworks, and languages for querying tweets, with the goal of informing the development of an integrated Twitter data management solution.
On the benefit of logic-based machine learning to learn pairwise comparisons
This document describes a study that used a logic-based machine learning approach called APARELL to learn user preferences from pairwise comparisons in a recommender system. APARELL learns description logic rules from examples of users' pairwise item preferences and background knowledge about item properties. It was implemented in a used car recommender system. A user study evaluated the pairwise preference elicitation method compared to a standard list interface. Results showed the pairwise interface was significantly better in recommending items that matched users' preferences.
Klibel5 acc 39_
This study examines the impact of learning orientation dimensions on the relationship between information technology capability and the quality of management accounting information, with technological uncertainty as a moderating variable. The study found that commitment to learning, shared vision, and open-mindedness positively impact information technology capability. It also found that information technology capability positively impacts the quality of management accounting information. However, it did not find technological uncertainty to moderate the relationship between information technology capability and the quality of management accounting information. The study was limited by a lack of data connection between variables.
Exploring Enterprise Mobility
This document summarizes key lessons from 11 qualitative studies of enterprise mobility conducted between 2001-2007. It explores six aspects of how mobile information technology impacts organizations:
1. Interaction - Mobile IT can mediate remote interactions by removing time/space constraints, or support situated interactions by enabling work to be done in specific locations while maintaining remote access.
2. Management of work - Mobile IT can increase organizational control over employees or give individuals more discretion over how and when they work.
3. Collaboration - Mobile IT can support either individual or collective work arrangements.
4. Technology use - Mobile IT can be ubiquitous and transparent in everyday use, or opaque and requiring conscious engagement.
5. Impact on practices
RUNNING HEADER Analytics Ecosystem1Analytics Ecosystem4.docx
RUNNING HEADER: Analytics Ecosystem 1
Analytics Ecosystem 4
Analytics Ecosystem
Lisa Garay
Rasmussen College
Authors Note
This paper is being submitted for Anastasia Rashtchian’s B288 Business Analytics Course.
This paper looks at the nine clusters of the ecosystem. Clustering refers to a system of grouping functions that are similar so as to set them out from others. It begins by highlighting them before proceeding to defining them. It then identifies clusters that represent technology developers and technology users. Peer reviewed materials are used in this endeavor.
They include executive sponsor cluster which contains information that concerns administrators for directing the system. Another one is end-user tools and dashboards cluster that is made of functions that facilitate ability of persons to ultimately engage the system. Data owners cluster is made up of programs that are related to persons who have data in the system. Business users’ cluster is made up of functions that are related to clients of the system. Business applications and systems cluster is made up programs related to features of a given system. Developers cluster is made of programs that are related to the development of programs in the system. Analyst cluster is made up of materials that are related to analysis of data in the system. SME cluster that is made up switches that run SME applications in the system. Lastly, operational data stores that are made up of programs that are concerned with storage of data in a system (Pitelis, 2012).
While developers cluster is made up of technology developers in the system, business users’ cluster is made up of technology users in the system. In conclusion, clustering serves to bring roles together as well as separating roles that are not related in a system (Cameron, Gelbach & Miller, 2012).
They can be represented as follows:-
References
Cameron, A. C., Gelbach, J. B., & Miller, D. L. (2012). Robust inference with multiway clustering. Journal of Business & Economic Statistics.
Pitelis, C. (2012). Clusters, entrepreneurial ecosystem co-creation, and appropriability: a conceptual framework. Industrial and Corporate Change, dts008.
Infrastructure
Executive Sponsor Cluster
End-user tools and dashboards cluster
operational data stores
Data Owners Cluster
Business users' cluster
Business systems and applications cluster
Developers Cluster
Analysts Cluster
SME cluster
4
Running head: Sentiment analysis
Sentiment Analysis
Lisa Garay
Rasmussen College
Authors Note
This paper is being submitted for Anastashia Rashtcian’s B288 Business Analytics course.
Sentiment analysis has played a significant role in the concurrent marketing field, specifically in product marketing. According to Somasundaran, Swapna, (2010), the process’ operational module is structured on a data mining sequence, whereby the end users of given particulars the feedback pertaining a used.
Collaborative Learning of Organisational Knolwedge
This paper presents recent research into methods used in Australian Indigenous Knowledge sharing and looks at how these can support the creation of suitable collaborative envi- ronments for timely organisational learning. The protocols and practices as used today and in the past by Indigenous communities are presented and discussed in relation to their relevance to a personalised system of knowledge sharing in modern organisational cultures. This research focuses on user models, knowledge acquisition and integration of data for constructivist learning in a networked repository of or- ganisational knowledge. The data collected in the repository is searched to provide collections of up-to-date and relevant material for training in a work environment. The aim is to improve knowledge collection and sharing in a team envi- ronment. This knowledge can then be collated into a story or workflow that represents the present knowledge in the organisation.
Similar to A Survey on Federated Learning Systems Vision, Hype and Reality for Data Privacy and Protection.pdf (20)
Learner Ontological Model for Intelligent Virtual Collaborative Learning Envi...
Learner Ontological Model for Intelligent Virtual Collaborative Learning Envi...
Multi-Dimensional Privacy Protection for Digital Collaborations.
Multi-Dimensional Privacy Protection for Digital Collaborations.
Modeling Communities in Information Systems: Informal Learning Communities in...
Modeling Communities in Information Systems: Informal Learning Communities in...
System Dynamics Modeling for IntellectualDisability Services.docx
System Dynamics Modeling for IntellectualDisability Services.docx
Invited Paper – EDSIGCON 2017 Keynote Reflections on the Cur.docx
Invited Paper – EDSIGCON 2017 Keynote Reflections on the Cur.docx
Effects of Developers’ Training on User-Developer Interactions in Information...
Effects of Developers’ Training on User-Developer Interactions in Information...
Team Formation Dynamics and Preferences in Online Courses
Team Formation Dynamics and Preferences in Online Courses
Multi-Tier Sentiment Analysis System in Big Data Environment
Multi-Tier Sentiment Analysis System in Big Data Environment
A DEVELOPMENT FRAMEWORK FOR A CONVERSATIONAL AGENT TO EXPLORE MACHINE LEARNIN...
A DEVELOPMENT FRAMEWORK FOR A CONVERSATIONAL AGENT TO EXPLORE MACHINE LEARNIN...
SEMANTIC ANALYSIS OVER LESSONS LEARNED CONTAINED IN SOCIAL NETWORKS FOR GENER...
SEMANTIC ANALYSIS OVER LESSONS LEARNED CONTAINED IN SOCIAL NETWORKS FOR GENER...
Semantic Analysis Over Lessons Learned Contained in Social Networks for Gener...
Semantic Analysis Over Lessons Learned Contained in Social Networks for Gener...
Educational Data Mining/Learning Analytics issue brief overview
Educational Data Mining/Learning Analytics issue brief overview
On the benefit of logic-based machine learning to learn pairwise comparisons
On the benefit of logic-based machine learning to learn pairwise comparisons
RUNNING HEADER Analytics Ecosystem1Analytics Ecosystem4.docx
RUNNING HEADER Analytics Ecosystem1Analytics Ecosystem4.docx
Collaborative Learning of Organisational Knolwedge
Collaborative Learning of Organisational Knolwedge
More from OKOKPROJECTS
Distributed State Estimation With Deep Neural Networks for Uncertain Nonlinea...
https://okokprojects.com/
IEEE PROJECTS 2023-2024 TITLE LIST
WhatsApp : +91-8144199666
From Our Title List the Cost will be,
Mail Us: okokprojects@gmail.com
Website: : https://www.okokprojects.com
: http://www.ieeeproject.net
Support Including Packages
=======================
* Complete Source Code
* Complete Documentation
* Complete Presentation Slides
* Flow Diagram
* Database File
* Screenshots
* Execution Procedure
* Video Tutorials
* Supporting Softwares
Support Specialization
=======================
* 24/7 Support
* Ticketing System
* Voice Conference
* Video On Demand
* Remote Connectivity
* Document Customization
* Live Chat Support
Distributed Inference in Resource-Constrained IoT for Real-Time Video Surveil...
https://okokprojects.com/
IEEE PROJECTS 2023-2024 TITLE LIST
WhatsApp : +91-8144199666
From Our Title List the Cost will be,
Mail Us: okokprojects@gmail.com
Website: : https://www.okokprojects.com
: http://www.ieeeproject.net
Support Including Packages
=======================
* Complete Source Code
* Complete Documentation
* Complete Presentation Slides
* Flow Diagram
* Database File
* Screenshots
* Execution Procedure
* Video Tutorials
* Supporting Softwares
Support Specialization
=======================
* 24/7 Support
* Ticketing System
* Voice Conference
* Video On Demand
* Remote Connectivity
* Document Customization
* Live Chat Support
DLTIF Deep Learning-Driven Cyber Threat Intelligence Modeling and Identificat...
https://okokprojects.com/
IEEE PROJECTS 2023-2024 TITLE LIST
WhatsApp : +91-8144199666
From Our Title List the Cost will be,
Mail Us: okokprojects@gmail.com
Website: : https://www.okokprojects.com
: http://www.ieeeproject.net
Support Including Packages
=======================
* Complete Source Code
* Complete Documentation
* Complete Presentation Slides
* Flow Diagram
* Database File
* Screenshots
* Execution Procedure
* Video Tutorials
* Supporting Softwares
Support Specialization
=======================
* 24/7 Support
* Ticketing System
* Voice Conference
* Video On Demand
* Remote Connectivity
* Document Customization
* Live Chat Support
DGSSC A Deep Generative Spectral-Spatial Classifier for Imbalanced Hyperspect...
https://okokprojects.com/
IEEE PROJECTS 2023-2024 TITLE LIST
WhatsApp : +91-8144199666
From Our Title List the Cost will be,
Mail Us: okokprojects@gmail.com
Website: : https://www.okokprojects.com
: http://www.ieeeproject.net
Support Including Packages
=======================
* Complete Source Code
* Complete Documentation
* Complete Presentation Slides
* Flow Diagram
* Database File
* Screenshots
* Execution Procedure
* Video Tutorials
* Supporting Softwares
Support Specialization
=======================
* 24/7 Support
* Ticketing System
* Voice Conference
* Video On Demand
* Remote Connectivity
* Document Customization
* Live Chat Support
Digital Restoration of Cultural Heritage With Data-Driven Computing A Survey.pdf
https://okokprojects.com/
IEEE PROJECTS 2023-2024 TITLE LIST
WhatsApp : +91-8144199666
From Our Title List the Cost will be,
Mail Us: okokprojects@gmail.com
Website: : https://www.okokprojects.com
: http://www.ieeeproject.net
Support Including Packages
=======================
* Complete Source Code
* Complete Documentation
* Complete Presentation Slides
* Flow Diagram
* Database File
* Screenshots
* Execution Procedure
* Video Tutorials
* Supporting Softwares
Support Specialization
=======================
* 24/7 Support
* Ticketing System
* Voice Conference
* Video On Demand
* Remote Connectivity
* Document Customization
* Live Chat Support
Dependable Intrusion Detection System for IoT A Deep Transfer Learning Based ...
https://okokprojects.com/
IEEE PROJECTS 2023-2024 TITLE LIST
WhatsApp : +91-8144199666
From Our Title List the Cost will be,
Mail Us: okokprojects@gmail.com
Website: : https://www.okokprojects.com
: http://www.ieeeproject.net
Support Including Packages
=======================
* Complete Source Code
* Complete Documentation
* Complete Presentation Slides
* Flow Diagram
* Database File
* Screenshots
* Execution Procedure
* Video Tutorials
* Supporting Softwares
Support Specialization
=======================
* 24/7 Support
* Ticketing System
* Voice Conference
* Video On Demand
* Remote Connectivity
* Document Customization
* Live Chat Support
DendroMap Visual Exploration of Large-Scale Image Datasets for Machine Learni...
https://okokprojects.com/
IEEE PROJECTS 2023-2024 TITLE LIST
WhatsApp : +91-8144199666
From Our Title List the Cost will be,
Mail Us: okokprojects@gmail.com
Website: : https://www.okokprojects.com
: http://www.ieeeproject.net
Support Including Packages
=======================
* Complete Source Code
* Complete Documentation
* Complete Presentation Slides
* Flow Diagram
* Database File
* Screenshots
* Execution Procedure
* Video Tutorials
* Supporting Softwares
Support Specialization
=======================
* 24/7 Support
* Ticketing System
* Voice Conference
* Video On Demand
* Remote Connectivity
* Document Customization
* Live Chat Support
Dense Nested Attention Network for Infrared Small Target Detection.pdf
https://okokprojects.com/
IEEE PROJECTS 2023-2024 TITLE LIST
WhatsApp : +91-8144199666
From Our Title List the Cost will be,
Mail Us: okokprojects@gmail.com
Website: : https://www.okokprojects.com
: http://www.ieeeproject.net
Support Including Packages
=======================
* Complete Source Code
* Complete Documentation
* Complete Presentation Slides
* Flow Diagram
* Database File
* Screenshots
* Execution Procedure
* Video Tutorials
* Supporting Softwares
Support Specialization
=======================
* 24/7 Support
* Ticketing System
* Voice Conference
* Video On Demand
* Remote Connectivity
* Document Customization
* Live Chat Support
Detection of Small Moving Targets in Cluttered Infrared Imagery.pdf
https://okokprojects.com/
IEEE PROJECTS 2023-2024 TITLE LIST
WhatsApp : +91-8144199666
From Our Title List the Cost will be,
Mail Us: okokprojects@gmail.com
Website: : https://www.okokprojects.com
: http://www.ieeeproject.net
Support Including Packages
=======================
* Complete Source Code
* Complete Documentation
* Complete Presentation Slides
* Flow Diagram
* Database File
* Screenshots
* Execution Procedure
* Video Tutorials
* Supporting Softwares
Support Specialization
=======================
* 24/7 Support
* Ticketing System
* Voice Conference
* Video On Demand
* Remote Connectivity
* Document Customization
* Live Chat Support
Depression Screening in Humans With AI and Deep Learning Techniques.pdf
https://okokprojects.com/
IEEE PROJECTS 2023-2024 TITLE LIST
WhatsApp : +91-8144199666
From Our Title List the Cost will be,
Mail Us: okokprojects@gmail.com
Website: : https://www.okokprojects.com
: http://www.ieeeproject.net
Support Including Packages
=======================
* Complete Source Code
* Complete Documentation
* Complete Presentation Slides
* Flow Diagram
* Database File
* Screenshots
* Execution Procedure
* Video Tutorials
* Supporting Softwares
Support Specialization
=======================
* 24/7 Support
* Ticketing System
* Voice Conference
* Video On Demand
* Remote Connectivity
* Document Customization
* Live Chat Support
DeepTx Deep Learning Beamforming With Channel Prediction.pdf
https://okokprojects.com/
IEEE PROJECTS 2023-2024 TITLE LIST
WhatsApp : +91-8144199666
From Our Title List the Cost will be,
Mail Us: okokprojects@gmail.com
Website: : https://www.okokprojects.com
: http://www.ieeeproject.net
Support Including Packages
=======================
* Complete Source Code
* Complete Documentation
* Complete Presentation Slides
* Flow Diagram
* Database File
* Screenshots
* Execution Procedure
* Video Tutorials
* Supporting Softwares
Support Specialization
=======================
* 24/7 Support
* Ticketing System
* Voice Conference
* Video On Demand
* Remote Connectivity
* Document Customization
* Live Chat Support
DeHIN A Decentralized Framework for Embedding Large-Scale Heterogeneous Infor...
https://okokprojects.com/
IEEE PROJECTS 2023-2024 TITLE LIST
WhatsApp : +91-8144199666
From Our Title List the Cost will be,
Mail Us: okokprojects@gmail.com
Website: : https://www.okokprojects.com
: http://www.ieeeproject.net
Support Including Packages
=======================
* Complete Source Code
* Complete Documentation
* Complete Presentation Slides
* Flow Diagram
* Database File
* Screenshots
* Execution Procedure
* Video Tutorials
* Supporting Softwares
Support Specialization
=======================
* 24/7 Support
* Ticketing System
* Voice Conference
* Video On Demand
* Remote Connectivity
* Document Customization
* Live Chat Support
DefQ Defensive Quantization Against Inference Slow-Down Attack for Edge Compu...
https://okokprojects.com/
IEEE PROJECTS 2023-2024 TITLE LIST
WhatsApp : +91-8144199666
From Our Title List the Cost will be,
Mail Us: okokprojects@gmail.com
Website: : https://www.okokprojects.com
: http://www.ieeeproject.net
Support Including Packages
=======================
* Complete Source Code
* Complete Documentation
* Complete Presentation Slides
* Flow Diagram
* Database File
* Screenshots
* Execution Procedure
* Video Tutorials
* Supporting Softwares
Support Specialization
=======================
* 24/7 Support
* Ticketing System
* Voice Conference
* Video On Demand
* Remote Connectivity
* Document Customization
* Live Chat Support
Deep-Learning-Driven Proactive Maintenance Management of IoT-Empowered Smart ...
https://okokprojects.com/
IEEE PROJECTS 2023-2024 TITLE LIST
WhatsApp : +91-8144199666
From Our Title List the Cost will be,
Mail Us: okokprojects@gmail.com
Website: : https://www.okokprojects.com
: http://www.ieeeproject.net
Support Including Packages
=======================
* Complete Source Code
* Complete Documentation
* Complete Presentation Slides
* Flow Diagram
* Database File
* Screenshots
* Execution Procedure
* Video Tutorials
* Supporting Softwares
Support Specialization
=======================
* 24/7 Support
* Ticketing System
* Voice Conference
* Video On Demand
* Remote Connectivity
* Document Customization
* Live Chat Support
Deep-Distributed-Learning-Based POI Recommendation Under Mobile-Edge Networks...
https://okokprojects.com/
IEEE PROJECTS 2023-2024 TITLE LIST
WhatsApp : +91-8144199666
From Our Title List the Cost will be,
Mail Us: okokprojects@gmail.com
Website: : https://www.okokprojects.com
: http://www.ieeeproject.net
Support Including Packages
=======================
* Complete Source Code
* Complete Documentation
* Complete Presentation Slides
* Flow Diagram
* Database File
* Screenshots
* Execution Procedure
* Video Tutorials
* Supporting Softwares
Support Specialization
=======================
* 24/7 Support
* Ticketing System
* Voice Conference
* Video On Demand
* Remote Connectivity
* Document Customization
* Live Chat Support
DeepCog A Trustworthy Deep Learning-Based Human Cognitive Privacy Framework i...
https://okokprojects.com/
IEEE PROJECTS 2023-2024 TITLE LIST
WhatsApp : +91-8144199666
From Our Title List the Cost will be,
Mail Us: okokprojects@gmail.com
Website: : https://www.okokprojects.com
: http://www.ieeeproject.net
Support Including Packages
=======================
* Complete Source Code
* Complete Documentation
* Complete Presentation Slides
* Flow Diagram
* Database File
* Screenshots
* Execution Procedure
* Video Tutorials
* Supporting Softwares
Support Specialization
=======================
* 24/7 Support
* Ticketing System
* Voice Conference
* Video On Demand
* Remote Connectivity
* Document Customization
* Live Chat Support
DeepCrowd A Deep Model for Large-Scale Citywide Crowd Density and Flow Predic...
https://okokprojects.com/
IEEE PROJECTS 2023-2024 TITLE LIST
WhatsApp : +91-8144199666
From Our Title List the Cost will be,
Mail Us: okokprojects@gmail.com
Website: : https://www.okokprojects.com
: http://www.ieeeproject.net
Support Including Packages
=======================
* Complete Source Code
* Complete Documentation
* Complete Presentation Slides
* Flow Diagram
* Database File
* Screenshots
* Execution Procedure
* Video Tutorials
* Supporting Softwares
Support Specialization
=======================
* 24/7 Support
* Ticketing System
* Voice Conference
* Video On Demand
* Remote Connectivity
* Document Customization
* Live Chat Support
D2Net Deep Denoising Network in Frequency Domain for Hyperspectral Image.pdf
https://okokprojects.com/
IEEE PROJECTS 2023-2024 TITLE LIST
WhatsApp : +91-8144199666
From Our Title List the Cost will be,
Mail Us: okokprojects@gmail.com
Website: : https://www.okokprojects.com
: http://www.ieeeproject.net
Support Including Packages
=======================
* Complete Source Code
* Complete Documentation
* Complete Presentation Slides
* Flow Diagram
* Database File
* Screenshots
* Execution Procedure
* Video Tutorials
* Supporting Softwares
Support Specialization
=======================
* 24/7 Support
* Ticketing System
* Voice Conference
* Video On Demand
* Remote Connectivity
* Document Customization
* Live Chat Support
Decentralized Federated Learning for Industrial IoT With Deep Echo State Netw...
https://okokprojects.com/
IEEE PROJECTS 2023-2024 TITLE LIST
WhatsApp : +91-8144199666
From Our Title List the Cost will be,
Mail Us: okokprojects@gmail.com
Website: : https://www.okokprojects.com
: http://www.ieeeproject.net
Support Including Packages
=======================
* Complete Source Code
* Complete Documentation
* Complete Presentation Slides
* Flow Diagram
* Database File
* Screenshots
* Execution Procedure
* Video Tutorials
* Supporting Softwares
Support Specialization
=======================
* 24/7 Support
* Ticketing System
* Voice Conference
* Video On Demand
* Remote Connectivity
* Document Customization
* Live Chat Support
Cyber Code Intelligence for Android Malware Detection.pdf
https://okokprojects.com/
IEEE PROJECTS 2023-2024 TITLE LIST
WhatsApp : +91-8144199666
From Our Title List the Cost will be,
Mail Us: okokprojects@gmail.com
Website: : https://www.okokprojects.com
: http://www.ieeeproject.net
Support Including Packages
=======================
* Complete Source Code
* Complete Documentation
* Complete Presentation Slides
* Flow Diagram
* Database File
* Screenshots
* Execution Procedure
* Video Tutorials
* Supporting Softwares
Support Specialization
=======================
* 24/7 Support
* Ticketing System
* Voice Conference
* Video On Demand
* Remote Connectivity
* Document Customization
* Live Chat Support
More from OKOKPROJECTS (20)
Distributed State Estimation With Deep Neural Networks for Uncertain Nonlinea...
Distributed State Estimation With Deep Neural Networks for Uncertain Nonlinea...
Distributed Inference in Resource-Constrained IoT for Real-Time Video Surveil...
Distributed Inference in Resource-Constrained IoT for Real-Time Video Surveil...
DLTIF Deep Learning-Driven Cyber Threat Intelligence Modeling and Identificat...
DLTIF Deep Learning-Driven Cyber Threat Intelligence Modeling and Identificat...
DGSSC A Deep Generative Spectral-Spatial Classifier for Imbalanced Hyperspect...
DGSSC A Deep Generative Spectral-Spatial Classifier for Imbalanced Hyperspect...
Digital Restoration of Cultural Heritage With Data-Driven Computing A Survey.pdf
Digital Restoration of Cultural Heritage With Data-Driven Computing A Survey.pdf
Dependable Intrusion Detection System for IoT A Deep Transfer Learning Based ...
Dependable Intrusion Detection System for IoT A Deep Transfer Learning Based ...
DendroMap Visual Exploration of Large-Scale Image Datasets for Machine Learni...
DendroMap Visual Exploration of Large-Scale Image Datasets for Machine Learni...
Dense Nested Attention Network for Infrared Small Target Detection.pdf
Dense Nested Attention Network for Infrared Small Target Detection.pdf
Detection of Small Moving Targets in Cluttered Infrared Imagery.pdf
Detection of Small Moving Targets in Cluttered Infrared Imagery.pdf
Depression Screening in Humans With AI and Deep Learning Techniques.pdf
Depression Screening in Humans With AI and Deep Learning Techniques.pdf
DeepTx Deep Learning Beamforming With Channel Prediction.pdf
DeepTx Deep Learning Beamforming With Channel Prediction.pdf
DeHIN A Decentralized Framework for Embedding Large-Scale Heterogeneous Infor...
DeHIN A Decentralized Framework for Embedding Large-Scale Heterogeneous Infor...
DefQ Defensive Quantization Against Inference Slow-Down Attack for Edge Compu...
DefQ Defensive Quantization Against Inference Slow-Down Attack for Edge Compu...
Deep-Learning-Driven Proactive Maintenance Management of IoT-Empowered Smart ...
Deep-Learning-Driven Proactive Maintenance Management of IoT-Empowered Smart ...
Deep-Distributed-Learning-Based POI Recommendation Under Mobile-Edge Networks...
Deep-Distributed-Learning-Based POI Recommendation Under Mobile-Edge Networks...
DeepCog A Trustworthy Deep Learning-Based Human Cognitive Privacy Framework i...
DeepCog A Trustworthy Deep Learning-Based Human Cognitive Privacy Framework i...
DeepCrowd A Deep Model for Large-Scale Citywide Crowd Density and Flow Predic...
DeepCrowd A Deep Model for Large-Scale Citywide Crowd Density and Flow Predic...
D2Net Deep Denoising Network in Frequency Domain for Hyperspectral Image.pdf
D2Net Deep Denoising Network in Frequency Domain for Hyperspectral Image.pdf
Decentralized Federated Learning for Industrial IoT With Deep Echo State Netw...
Decentralized Federated Learning for Industrial IoT With Deep Echo State Netw...
Cyber Code Intelligence for Android Malware Detection.pdf
Cyber Code Intelligence for Android Malware Detection.pdf
Recently uploaded
How to Fix the Import Error in the Odoo 17
An import error occurs when a program fails to import a module or library, disrupting its execution. In languages like Python, this issue arises when the specified module cannot be found or accessed, hindering the program's functionality. Resolving import errors is crucial for maintaining smooth software operation and uninterrupted development processes.
Advanced Java[Extra Concepts, Not Difficult].docx
This is part 2 of my Java Learning Journey. This contains Hashing, ArrayList, LinkedList, Date and Time Classes, Calendar Class and more.
How to Manage Your Lost Opportunities in Odoo 17 CRM
Odoo 17 CRM allows us to track why we lose sales opportunities with "Lost Reasons." This helps analyze our sales process and identify areas for improvement. Here's how to configure lost reasons in Odoo 17 CRM
The simplified electron and muon model, Oscillating Spacetime: The Foundation...
Discover the Simplified Electron and Muon Model: A New Wave-Based Approach to Understanding Particles delves into a groundbreaking theory that presents electrons and muons as rotating soliton waves within oscillating spacetime. Geared towards students, researchers, and science buffs, this book breaks down complex ideas into simple explanations. It covers topics such as electron waves, temporal dynamics, and the implications of this model on particle physics. With clear illustrations and easy-to-follow explanations, readers will gain a new outlook on the universe's fundamental nature.
South African Journal of Science: Writing with integrity workshop (2024)
South African Journal of Science: Writing with integrity workshop (2024)Academy of Science of South Africa
A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.The Diamonds of 2023-2024 in the IGRA collection
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar KanvariaThe History of Stoke Newington Street Names
Presented at the Stoke Newington Literary Festival on 9th June 2024
www.StokeNewingtonHistory.com
How to Setup Warehouse & Location in Odoo 17 Inventory
In this slide, we'll explore how to set up warehouses and locations in Odoo 17 Inventory. This will help us manage our stock effectively, track inventory levels, and streamline warehouse operations.
BÀI TẬP BỔ TRỢ TIẾNG ANH 8 CẢ NĂM - GLOBAL SUCCESS - NĂM HỌC 2023-2024 (CÓ FI...
BÀI TẬP BỔ TRỢ TIẾNG ANH 8 CẢ NĂM - GLOBAL SUCCESS - NĂM HỌC 2023-2024 (CÓ FI...Nguyen Thanh Tu Collection
https://app.box.com/s/y977uz6bpd3af4qsebv7r9b7s21935vdNatural birth techniques - Mrs.Akanksha Trivedi Rama University
Natural birth techniques - Mrs.Akanksha Trivedi Rama UniversityAkanksha trivedi rama nursing college kanpur.
Natural birth techniques are various type such as/ water birth , alexender method, hypnosis, bradley method, lamaze method etcAzure Interview Questions and Answers PDF By ScholarHat
Azure Interview Questions and Answers PDF By ScholarHat
Recently uploaded (20)
How to Manage Your Lost Opportunities in Odoo 17 CRM
How to Manage Your Lost Opportunities in Odoo 17 CRM
The simplified electron and muon model, Oscillating Spacetime: The Foundation...
The simplified electron and muon model, Oscillating Spacetime: The Foundation...
South African Journal of Science: Writing with integrity workshop (2024)
South African Journal of Science: Writing with integrity workshop (2024)
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...
How to Setup Warehouse & Location in Odoo 17 Inventory
How to Setup Warehouse & Location in Odoo 17 Inventory
Film vocab for eal 3 students: Australia the movie
Film vocab for eal 3 students: Australia the movie
BÀI TẬP BỔ TRỢ TIẾNG ANH 8 CẢ NĂM - GLOBAL SUCCESS - NĂM HỌC 2023-2024 (CÓ FI...
BÀI TẬP BỔ TRỢ TIẾNG ANH 8 CẢ NĂM - GLOBAL SUCCESS - NĂM HỌC 2023-2024 (CÓ FI...
Natural birth techniques - Mrs.Akanksha Trivedi Rama University
Natural birth techniques - Mrs.Akanksha Trivedi Rama University
Digital Artefact 1 - Tiny Home Environmental Design
Digital Artefact 1 - Tiny Home Environmental Design
Azure Interview Questions and Answers PDF By ScholarHat
Azure Interview Questions and Answers PDF By ScholarHat
A Survey on Federated Learning Systems Vision, Hype and Reality for Data Privacy and Protection.pdf
- 1. A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection Abstract As data privacy increasingly becomes a critical societal concern, federated learning has been a hot research topic in enabling the collaborative training of machine learning models among different organizations under the privacy restrictions. As researcher different privacy-preserving approaches, there is a requirement in developing systems and infrastructures to ease the development of various federated learning algorithms. Similar to deep learning systems TensorFlow that boost the development of deep learning, federated learning systems (FLSs) are equivalently important, and face challenges from various aspects such as effectiveness, efficiency, and privacy. In this survey, we conduct a comprehensive review on federated learning systems. To A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection As data privacy increasingly becomes a critical societal concern, federated learning has been a hot research topic in enabling the collaborative training of machine learning models among different organizations under the privacy restrictions. As researchers try to support more machine learning models with preserving approaches, there is a requirement in developing systems and infrastructures to ease the development of various federated learning algorithms. Similar to deep learning systems such as PyTorch and TensorFlow that boost the development of deep learning, federated learning systems (FLSs) are equivalently important, and face challenges from various aspects such as effectiveness, efficiency, and privacy. In this survey, we comprehensive review on federated learning systems. To Systems: Vision, Hype and Reality for As data privacy increasingly becomes a critical societal concern, federated learning has been a hot research topic in enabling the collaborative training of machine learning models among different organizations under the privacy s try to support more machine learning models with preserving approaches, there is a requirement in developing systems and infrastructures to ease the development of various federated such as PyTorch and TensorFlow that boost the development of deep learning, federated learning systems (FLSs) are equivalently important, and face challenges from various aspects such as effectiveness, efficiency, and privacy. In this survey, we comprehensive review on federated learning systems. To
- 2. understand the key design system components and guide future research, we introduce the definition of federated learning systems and analyze the system components. Moreover, we provide a thorough categorization for federated learning systems according to six different aspects, including data distribution, machine learning model, privacy mechanism, communication architecture, scale of federation and motivation of federation. The categorization can help the design of federated learning systems as shown in our case studies. By systematically summarizing the existing federated learning systems, we present the design factors, case studies, and future research opportunities.