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Distributed
Machine Learning
Yi Wang
Story Outline
• Use existing frameworks (2007~2010)	

• Methods: Frequent itemset mining, Collaborative
filtering, Spectral clustering, Graph partitioning,
Restricted Boltzmann machine, Latent topic modeling	

• Frameworks: MPI, MapReduce, Pregel, GBR	

• Developing frameworks (2010~2014)	

• MapReduce Lite (C++) for language models	

• Peacock (Go) for latent topic modeling
Lessons
• Internet services relies on machine intelligence	

• Intelligence comes from learning users’ behavior	

• Value lies in long tails ▹	

• It is more about big than fast	

• Good system = good algorithm + good architecture	

• More about engineering than math	

• It is Industrial Revolution!
Pitfalls
• De-noise data ▹	

• Parallelize models in papers and textbooks	

• Use existing frameworks	

• MPI	

• Mix frameworks with cluster operating systems ▹	

• Less talking about production	

• Use standard measures	

• Java or Python ▹
Environment
• Balance business with killing tech development	

• Separated	

• Combined	

• Switching	

• Standalone business	

• ML software	

• ML frameworks	

• MLaaP or MLaaS
◀
www.couchsurfing
www.tripadvisor.c
www.kayak.com
www.easyjet.com/
www.ryanair.com
www.edreams.it
www.expedia.it
www.volagratis.co
www.skyscanner.n
www.google.com/
www.koders.com
www.bigbold.com
www.gotapi.com
0xcc.net/blog/arc
043.html
www.google.co.jp
www.livedoor.com
www.baidu.jp
www.namaan.net
www.operator11.c
www.joost.com
www.keepvid.com
www.getdemocrac
www.masternewm
www.technorati.c
www.listible.com
www.popurls.com
www.aldaily.com
www.quintura.com
wwwl.meebo.com
www.ebuddy.com
www.plugoo.com
www.easyhotel.co
www.hostelz.com
www.couchsurfing
www.tripadvisor.c
www.kayak.com
www.easyjet.com/
www.ryanair.com
www.edreams.it
www.expedia.it
www.volagratis.co
www.skyscanner.n
www.google.com/
www.koders.com
www.bigbold.com
www.gotapi.com
0xcc.net/blog/arc
043.html
www.google.co.jp
www.livedoor.com
www.baidu.jp
www.namaan.net
www.operator11.c
Long-tail is scale-free. 	

Mean and median make no sense with long-tail distributions.	

Pie-charts make no sense either.	

◀
application PageRank Indexing pCTR DNN
framework Pregel MapReduce SETI DistBelief
middleware
Chubby (Zookeeper, etcd), 	

Bigtable (HBase),	

memcachg (memcached)
cluster OS Borg (Mesos,YARN, Kubernetes)
filesystem GFS (HDFS)
◀
var resp *Response	
select {	
case b := <- rpc.Call("B"):	
resp = extract(b)	
case c := <- rpc.Call("C"):	
resp = extract(c)	
case e := <- rpc.Call("E"):	
resp = extract(e)	
case <- time.Timeout(1*second):	
resp = nil	
}	
// use resp here.
var mutex = NewMutex();	
var returns = 0;	
var timer = setTimeout(timeout,1*second);	
!
function rpcResp(resp) {	
mutex.Lock();	
if (returns == 0) {	
clearTimeout(timer);	
use(resp);	
}	
returns++;	
mutex.Unlock();	
}	
function timeout() {	
mutex.Lock();	
returns++;	
mutex.Unlock();	
}	
!
rpc.Call("B", rpcResp);	
rpc.Call("C", rpcResp);	
rpc.Call("D", rpcResp);
◀

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Distributed Machine Learning: 1. A New Era