Author

Georg Carle

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Preprint Aug 2026

FedCC: Towards Addressing Label Distribution Skews in Distillation-Based Federated Learning

FedCC, a simple and effective algorithm for mitigating client misclassification that balances confidence in majority classes against uncertainty in under-represented ones, is proposed and significantly outperforms existing methods.

Wenxuan Ye, Onur Ayan, Xue-Li An et al. · 0 citations