Nannan Wu

FedPCA: Noise-Robust Fair Federated Learning via Performance-Capacity Analysis

2025 · arXiv (Cornell University)

Training a model that effectively handles both common and rare data-i.e., achieving performance fairness-is crucial in federated learning (FL). While existing fair FL methods have shown effectiveness, they remain vulnerable to mislabeled data. Ensuring robustness …