FedSGD – FedAVG H. B. McMahan, E. Moore, D. Ramage, S. Hampson, and B. A. y Arcas, “Communication-Efficient Learning of Deep Networks from Decentralized Data,” Jan. 26, 2023, arXiv: arXiv:1602.05629. doi: 10.48550/arXiv.1602.05629. In FedSGD, server sends current model $w_t$ to all devices and each device calculates the “slope” or gradient $g_k$ of its local data. ...
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