2024
FedFixer: Mitigating Heterogeneous Label Noise in Federated Learning
AAAI 2024technical
Federated Learning (FL) heavily depends on label quality for its performance. However, the label distribution among individual clients is always both noisy and heterogeneous. The high loss incurred by client-specific samples in heterogeneous label noise poses challenges for distinguishing between cl…