Resilience Beyond Stationary Client Unavailability: Unlocking Efficient and Unbiased Federated Learning
FedSWE is proposed, which admits novel algorithmic structures to compensate for missed computations, stabilize and diffuse the global updates over rounds, and evenly mix the local updates through implicit gossiping, despite being agnostic to non-stationary dynamics.
Ming Xiang, Stratis Ioannidis, Edmund Yeh et al.
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