Xiaowen Jiang, Anton Rodomanov, Sebastian U. Stich
TL;DR分布式优化中的 Federated Learning 及其改进方法 DANE 和 FedRed 的关键词与摘要。
Abstract
federated learning is a distributed optimization paradigm that allows
training machine learning models across decentralized devices while keeping the
data localized. The standard method, FedAvg, suffers from client drif