Preprint Open access
OPFL: Optimistic Verification of Federated Learning via Empirical Boundary
Federated learning enables multiple clients to collaboratively train models without sharing their private data. However, the lack of visibility into local training makes it difficult to verify whether clients follow the prescribed training procedure or submit malicious updates, such as model poisoning. A natural approa …