FedAvgOpt, a new aggregation strategy that optimizes per-client reweighting factors each round, reports improved accuracy and stability over FedAvg and five other baselines on brain MRI classification, but without error bars or repeated runs.
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Enhancing the Convergence of Federated Learning Aggregation Strategies with Limited Data
FedAvgOpt, a new aggregation strategy that optimizes per-client reweighting factors each round, reports improved accuracy and stability over FedAvg and five other baselines on brain MRI classification, but without error bars or repeated runs.