FedFixer: Mitigating Heterogeneous Label Noise in Federated Learning

no code implementations • 25 Mar 2024 • Xinyuan Ji, Zhaowei Zhu, Wei Xi, Olga Gadyatskaya, Zilong Song, Yong Cai, Yang Liu

The high loss incurred by client-specific samples in heterogeneous label noise poses challenges for distinguishing between client-specific and noisy label samples, impacting the effectiveness of existing label noise learning approaches.

Federated Learning