Vivek Khimani

FedClean: A Defense Mechanism against Parameter Poisoning Attacks in Federated Learning

In Federated learning (FL) systems, a centralized entity (server), instead of access to the training data, has access to model parameter updates computed by each participant independently and based solely on their samples. Unfortunately, FL is susceptible to model poisoning attacks, in which malicio…