FedGA, a fairness-aware federated learning method, uses the Gini coefficient to trigger delayed reweighting of aggregation toward low-accuracy clients, improving fairness metrics while maintaining accuracy on three datasets.
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FedGA: A Fair Federated Learning Framework Based on the Gini Coefficient
FedGA, a fairness-aware federated learning method, uses the Gini coefficient to trigger delayed reweighting of aggregation toward low-accuracy clients, improving fairness metrics while maintaining accuracy on three datasets.