Loss Gap Parity for Fairness in Heterogeneous Federated Learning
arXiv:2603.29818v1 Announce Type: new
Abstract: While clients may join federated learning to improve performance on data they rarely observe locally, they often remain self-interested, expecting the global model to perform well on their own data. This…