FedLCD: A Federated Learning Framework with Layer-Wise Consistency Detection
Federated learning enables multiple clients to collaboratively train a global model without sharing raw data, but it is vulnerable to Byzantine attacks, in which malicious clients upload manipulated model updates to disrupt training or degrade model accuracy. Existing Byzantine-robust aggregation methods typically oper...