2026
CoRe-Fed: Bridging Collaborative and Representation Fairness via Federated Embedding Distillation
AAAI 2026technical
With the proliferation of distributed data sources, Federated Learning (FL) has emerged as a key approach to enable collaborative intelligence through decentralized model training while preserving data privacy. However, conventional FL algorithms often suffer from performance disparities across clie