Exploring Communication Efficient Parallel Split Learning
Exploring Communication Efficient Parallel Split Learning reveals several interesting facts.
- Abstract: Federated learning (FL) is a popular distributed privacy-preserving machine learning (DPML) approach.
- Workshop on
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- Abstract: Transportation mode detection (TMD) by analyzing smart phone embedded sensor's data is emerging application for ...
- Iker Ceballos, Vivek Sharma, Eduardo Mugica, Abhishek Singh, Praneeth Vepakomma, Ramesh Raskar (Acuratio/MIT) ...
In-Depth Information on Communication Efficient Parallel Split Learning
Jihong Park, Seungeun Oh, Hyelin Nam, Seong-Lyun Kim, Mehdi Bennis (Deakin University, Yonsei University, University of ... I will present our recent work on Yusuke Koda, Jihong Park, Mehdi Bennis, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura (Kyoto Univ, Deakin Univ, Univ. of ... Ali Abedi and Sheroz S. Khan (KITE, University Health Network, Canada. University of Toronto Canada.) @Workshop on
Heterogeneity Meets
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