FEDBUD: Joint Incentive and Privacy Optimization for Resource-Constrained Federated Learning
arXiv:2604.10499v1 Announce Type: cross
Abstract: Federated learning has become a popular paradigm for privacy protection and edge-based machine learning. However, defending against differential attacks and devising incentive strategies remain signifi…