Energizing Federated Learning via Filter-Aware Attention

Ziyuan Yang, Zerui Shao, Huijie Huangfu +5

Federated learning (FL) is a promising distributed paradigm, eliminating the need for data sharing but facing challenges from data heterogeneity. Personalized parameter generation…