Yidan Ou

DREAM: A Unified Framework for Drift-Corrected Federated Multi-Objective Learning

Federated Multi-Objective Learning (FMOL) enables collaborative training of conflicting objectives but faces a compounded challenge: the recursive coupling between intra-task client drift and inter-task aggregation bias. We propose DREAM, a unified framework that jointly corrects these two coupled e…