2 papers
cs.LG2025
FLAegis: A Two-Layer Defense Framework for Federated Learning Against Poisoning Attacks
Enrique Mármol Campos, Aurora González Vidal, José Luis Hernández Ramos +1
Federated Learning (FL) has become a powerful technique for training Machine Learning (ML) models in a decentralized manner, preserving the privacy of the training datasets involve…
cs.LG2024
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…