AI RESEARCH
When the Server Steps In: Calibrated Updates for Fair Federated Learning
arXiv CS.LG
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ArXi:2601.05352v2 Announce Type: replace Federated learning (FL) has emerged as a transformative distributed learning paradigm, enabling multiple clients to collaboratively train a global model under the coordination of a central server without sharing their raw