Jin Meng

FedCRA: Client Risk-aware Aggregation via Update Reconstruction for IoT-based Federated Learning

Federated Learning (FL) enables distributed model training without sharing raw data, making it particularly suitable for Internet of Things (IoT) environments. However, FL remains vulnerable to poisoning attacks, where malicious clients manipulate local updates to corrupt global model optimization. Existing defenses ma...