Carlos Beis-Penedo

According to our database, Carlos Beis-Penedo authored at least 6 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

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

Comput. Networks, 2026

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

Array, 2026

2025

Verifiable Split Learning via zk-SNARKs.

Rana Alaa, Darío González-Ferreiro, Carlos Beis-Penedo, Manuel Fernández-Veiga, Rebeca P. Díaz Redondo, Ana Fernández Vilas

CoRR, November, 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

IEEE Open J. Commun. Soc., 2025

A blockchain solution for decentralized training in machine learning for IoT.

Carlos Beis-Penedo, Francisco Troncoso-Pastoriza, Rebeca P. Díaz Redondo, Ana Fernández Vilas, Manuel Fernández-Veiga, Martín González Soto

Comput. Commun., 2025

2023

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