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Energy Minimization for Federated Asynchronous Learning on Battery-Powered Mobile Devices via Application Co-running. (arXiv:2204.13878v1 [cs.DC])
cs.LG updates on arXiv.org arxiv.org
Energy is an essential, but often forgotten aspect in large-scale federated
systems. As most of the research focuses on tackling computational and
statistical heterogeneity from the machine learning algorithms, the impact on
the mobile system still remains unclear. In this paper, we design and implement
an online optimization framework by connecting asynchronous execution of
federated training with application co-running to minimize energy consumption
on battery-powered mobile devices. From a series of experiments, we find that
co-running the training process in …
application arxiv asynchronous battery devices energy learning mobile