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May, 2022
半分散式联合中继联邦学习
Semi-Decentralized Federated Learning with Collaborative Relaying
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Michal Yemini, Rajarshi Saha, Emre Ozfatura, Deniz Gündüz, Andrea J. Goldsmith
TL;DR
提出一种半分散式联邦学习算法，在其中客户端通过中央参数服务器（PS）中继其邻居的本地更新进行合作，以实现全局更新，有效提高收敛速度和精度。
Abstract
We present a
semi-decentralized federated learning
algorithm wherein clients collaborate by relaying their neighbors'
local updates
to a
central
→