Guangpu Chen

RPPFL: Robust and Privacy-Preserving Federated Learning via Trusted Execution Environments

Federated Learning (FL) is a distributed framework that enables multi-participant collaborative model training without the need for data sharing. Despite its advantages, FL is vulnerable to poisoning and inference attacks, which compromise model accuracy and data privacy. Trusted execution environme…