FedRDF: A Robust and Dynamic Aggregation Function against Poisoning Attacks in Federated Learning

Enrique Mármol Campos, Aurora González Vidal, José Luis Hernández Ramos +1

Federated Learning (FL) represents a promising approach to typical privacy concerns associated with centralized Machine Learning (ML) deployments. Despite its well-known advantages…