FEDBUD: Joint Incentive and Privacy Optimization for Resource-Constrained Federated Learning

Tao Liu, Xuehe Wang

Federated learning has become a popular paradigm for privacy protection and edge-based machine learning. However, defending against differential attacks and devising incentive stra…