FedQueue predicts per-facility queue delays, applies cutoff admission to bound staleness, and uses staleness-aware aggregation, yielding O(1/sqrt(R)) convergence for non-convex objectives and up to 60% faster time-to-target-accuracy in simulations and 20.5% real-world improvement.
International Conference on Machine Learning , pages=
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