Shuang-Gen Liu

Privacy-Preserving and Poisoning-Robust Federated Learning for Industrial IoT

A hierarchical privacy protection and poisoning-robust defense framework for industrial federated learning is proposed and can effectively suppress global-model degradation under multiple poisoning attacks and achieves a favorable balance among privacy protection strength, robustness, and training efficiency.

FedOut: Federated learning with outsourced homomorphic encryption for resource-constrained IoT devices