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distributed_ml [2018/04/05 19:01]
damaskin
distributed_ml [2018/04/10 14:36]
damaskin
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 === Asynchronous ML on android devices=== === Asynchronous ML on android devices===
-This project is related to training ML algorithms asynchronously on Android devices. The challenges here are primarily: mobile churn, latency, memory, bandwidth and accuracy. ​The main goal is building a framework to address these challenges.+This project is related to training ML algorithms asynchronously on Android devices. The challenges here are primarily: mobile churn, latency, energy consumption, memory, bandwidth and accuracy. ​ 
  
 Related papers:\\ Related papers:\\
 [1] __[[http://​ttic.uchicago.edu/​~kgimpel/​papers/​gimpel+das+smith.conll10.pdf|Distributed Asynchronous Online Learning for Natural Language Processing]]__ \\ [1] __[[http://​ttic.uchicago.edu/​~kgimpel/​papers/​gimpel+das+smith.conll10.pdf|Distributed Asynchronous Online Learning for Natural Language Processing]]__ \\
-[2] __[[http://​net.pku.edu.cn/​~cuibin/​Papers/​2017%20sigmod.pdf|Heterogeneity-aware Distributed Parameter Servers]]__+[2] __[[http://​net.pku.edu.cn/​~cuibin/​Papers/​2017%20sigmod.pdf|Heterogeneity-aware Distributed Parameter Servers]]__ \\ 
 +[3] __[[http://​proceedings.mlr.press/​v70/​zhang17e.html|ZipML:​ Training Linear Models with End-to-End Low Precision, and a Little Bit of Deep Learning]]__
  
 === Multi-output multi-class classification === === Multi-output multi-class classification ===