These are the slides used in my Youtube video: https://youtu.be/gOHSewZawoo

1. Federated Learning with
Tensorflow
Daniyal Shahrokhian
<daniyal@kth.se>

2. Traditional ML workflow
Tensorflow World 2019 - Krzysztof Ostrowski

3. Pains and Limitations
- Size of the data
- Maybe too large for our computing infrastructure to process
- Could be solved with horizontal/vertical scaling
- Data privacy
- Maybe data contains sensitive information, or violates user privacy
- Could be solved with Homomorphic Encryption (HE) and Multi-Key Homomorphic
Encryption (MKHE)

4. Intro to Federated Learning (FL)
Breaking Privacy in Federated Learning - Ahmed Gad (KDnuggets)

5. Demo
- Jupyter Notebook
- Youtube Video