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cs.LG2025
FedPF: Accurate Target Privacy Preserving Federated Learning Balancing Fairness and Utility
Kangkang Sun, Jun Wu, Minyi Guo +2
Federated Learning (FL) enables collaborative model training without data sharing, yet participants face a fundamental challenge, e.g., simultaneously ensuring fairness across demo…
cs.LG2023
Toward the Tradeoffs between Privacy, Fairness and Utility in Federated Learning
Kangkang Sun, Xiaojin Zhang, Xi Lin +3
Federated Learning (FL) is a novel privacy-protection distributed machine learning paradigm that guarantees user privacy and prevents the risk of data leakage due to the advantage…