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20212026
most citedImproving the Transient Times for Distributed Stochastic Gradient Methods

5 citations · 6 across the 6 of their papers we have counts for

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cs.LG2026

Achieving Linear Speedup for Composite Federated Learning

Kun Huang, Shi Pu, Karl Henrik Johansson

This paper proposes FedNMap, a normal map-based method for composite federated learning, where the objective consists of a smooth loss and a possibly nonsmooth regularizer. FedNMap…