Energy Minimization for Federated Asynchronous Learning on Battery-Powered Mobile Devices via Application Co-running-Reference-Cited by-同舟云学术

Energy Minimization for Federated Asynchronous Learning on Battery-Powered Mobile Devices via Application Co-running

Published:2022-07 Issue: Volume: Page:
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Container-title:2022 IEEE 42nd International Conference on Distributed Computing Systems (ICDCS)
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Author:

Wang Cong¹,Hu Bin²,Wu Hongyi²

Affiliation:

1. George Mason University,Fairfax,VA,USA,22030

2. Old Dominion University,Norfolk,VA,USA,23529

Publisher

IEEE

Link

Reference36 articles.

1. Pipelined Backpropagation at Scale: Training Large Models without Batches;kosson;MLSys,2021

2. Gap-aware Mitigation of Gradient Staleness;barkai;ICLRE,2020

3. Taming Momentum in a Distributed Asynchronous Environmen-t;hakimi,2019

4. Asynchronous Accelerated Stochastic Gradient Descen-t;meng;IJCAI,2016

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