FedEnD: Communication-Efficient Federated Learning for Non-IID Data via Decentralized Ensemble Distillation

Decentralized Self-Supervised Representation Learning via Prototype Exchange under Non-IID Data

Enrique Tomás Martínez Beltrán, Gérôme Bovet, Gregorio Martínez Pérez, Alberto Huertas Celdrán

RepuNet: A Reputation System for Mitigating Malicious Clients in DFL

Isaac Marroqui Penalva, Enrique Tomás Martínez Beltrán, Manuel Gil Pérez, Alberto Huertas Celdrán

SYNAPSE: Framework for Neuron Analysis and Perturbation in Sequence Encoding

Jesús Sánchez Ochoa, Enrique Tomás Martínez Beltrán, Alberto Huertas Celdrán

In recent years, Artificial Intelligence has become a powerful partner for complex tasks such as data analysis, prediction, and problem-solving, yet its lack of transparency raises concerns about its reliability. In sensitive domains such a...