Agnostic FedAvg converges at O(1/sqrt T) to the availability-weighted objective under unknown non-uniform client participation, for convex losses.
Advances and open prob- lems in federated learning,
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Convergence of Agnostic Federated Averaging
Agnostic FedAvg converges at O(1/sqrt T) to the availability-weighted objective under unknown non-uniform client participation, for convex losses.