Tony Q.S. Quek

FedCorr: Multi-Stage Federated Learning for Label Noise Correction

Federated learning (FL) is a privacy-preserving distributed learning paradigm that enables clients to jointly train a global model. In real-world FL implementations, client data could have label noise, and different clients could have vastly different label noise levels. Although there exist methods…