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cs.LG2024★ 1 cited
Federated Learning for Misbehaviour Detection with Variational Autoencoders and Gaussian Mixture Models
Enrique Mármol Campos, Aurora González Vidal, José Luis Hernández Ramos +1
Federated Learning (FL) has become an attractive approach to collaboratively train Machine Learning (ML) models while data sources' privacy is still preserved. However, most of exi…
cs.LG2024★ 1 cited
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…