A Blockchain Solution for Collaborative Machine Learning over IoT. - Carlos Beis-Penedo; Francisco Troncoso-Pastoriza; Rebeca P. Díaz Redondo; Ana Fernández Vilas; Manuel Fernández-Veiga; Martín González Soto (CoRR, 2023)

CO-DEFEND: Continuous Decentralized Federated Learning for Secure DoH-Based Threat Detection. - Diego Cajaraville-Aboy; Marta Moure-Garrido; Carlos Beis-Penedo; Carlos García-Rubio; Rebeca P. Díaz Redondo; Celeste Campo; Ana Fernández Vilas; Manuel Fernández-Veiga (CoRR, 2025)

Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulator. - Alberto Bazán Guillén; Carlos Beis-Penedo; Diego Cajaraville-Aboy; Pablo A. Barbecho Bautista; Rebeca P. Díaz Redondo; Luis J. de la Cruz Llopis; Ana Fernández Vilas; Mónica Aguilar-Igartua; Manuel Fernández-Veiga (CoRR, 2025)

HLF-FSL. A Decentralized Federated Split Learning Solution for IoT on Hyperledger Fabric. - Carlos Beis-Penedo; Rebeca P. Díaz Redondo; Ana Fernández Vilas; Manuel Fernández-Veiga; Francisco Troncoso-Pastoriza (CoRR, 2025)