A Verifiable Momentum Federated Learning Scheme
Momentum federated learning (MFL) has attracted widespread attention in privacy-preserving data mining. However, an adversary may engage in two malicious behaviors: (1) launching gradient inversion attacks on momentum information to reconstruct training samples, and (2) tampering with momentum information during aggreg...
Dandan Lu, Danjie Han, Hua Ren et al.
· Symmetry · 0 citations