Jie Chen

CVFL-Pro: A Collusion-Resistant Verification Federated Learning Framework With Adaptive Communication Optimization

Federated learning has gained significant attention for its ability to train models without directly accessing raw data. However, the malicious server may falsify the aggregation results to save computational resources. While existing verifiable federated learning methods can validate the results, they exacerbate commu...