FedAKD improves collaborative fairness under imbalanced covariate shift by distilling only each client's correctly predicted samples into the global model.
Stich, and Ananda Theertha Suresh
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Towards Collaborative Fairness in Federated Learning Under Imbalanced Covariate Shift
FedAKD improves collaborative fairness under imbalanced covariate shift by distilling only each client's correctly predicted samples into the global model.