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Jun, 2019
异构环境下的健壮联邦学习
Robust Federated Learning in a Heterogeneous Environment
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Avishek Ghosh, Justin Hong, Dong Yin, Kannan Ramchandran
TL;DR
在Federated Learning中,我们提出了一个统计模型来解决异构数据分布和拜占庭机器等统计和计算挑战。在此基础上,我们提出了一个优化算法来解决该问题,并获得了比非拜占庭鲁棒算法更好的估计误差。
Abstract
We study a recently proposed large-scale distributed learning paradigm, namely
federated learning
, where the worker machines are end users' own devices. Statistical and computational challenges arise in
federated learni
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