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Adaptive Federated Learning in Heterogeneous Wireless Networks with Independent Sampling
In this work, we advocate a new independent client sampling strategy to minimize the wall-clock training time of FL, while considering data heterogeneity and system heterogeneity in both communication and computation.
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