This site uses cookies for analytics to understand how visitors interact with the content. No personal data is shared with third parties.
Ph.D. student at the University of Murcia working at the intersection of federated learning, cybersecurity, and privacy-preserving AI for real-world systems.
Years of applied research experience
EU and defense funded programs
Candidate at the University of Murcia
Citations
Spain
enriquetomas@um.es
Academic and professional profiles to follow scientific output, research identity, and technical activity.
Cutting-edge initiatives in federated learning, cybersecurity, and mission-critical AI systems.
DEFENDIS develops a framework for uniquely identifying IoT devices in a distributed manner while solving security threats through decentralized federated learning.
A cutting-edge AI-based solution for automating cyber defence incident management processes, enhancing EU cyber defence posture and operational capabilities.
Selected highlights from ongoing research in decentralized federated learning, communications security, and trustworthy AI.
Computer Networks
Enrique Tomás Martínez Beltrán, Eduard Gash, Gérôme Bovet, Alberto Huertas Celdrán, Burkhard Stiller
Decentralized Federated Learning (DFL) offers a scalable paradigm for collaborative intelligence at the edge, yet its practical efficacy is severely constrained by system heterogeneity. Traditional synchronous protocols...
Information Fusion
Enrique Tomás Martínez Beltrán, Gérôme Bovet, Gregorio Martínez Pérez, Alberto Huertas Celdrán
Technical writing on federated learning, decentralized AI, and applied cybersecurity.
This comprehensive guide explores NEBULA, a revolutionary platform for decentralized federated learning, from basic concepts to advanced applications in healthcare, IoT, and cybersecurity, with practical implementation examples.
Explore how federated learning is transforming the AI landscape by enabling collaborative model training without sharing raw data, preserving privacy while advancing machine learning capabilities.
I'm open to research partnerships, collaborations, and opportunities in federated learning, cybersecurity, and privacy-preserving AI.
enriquetomas@um.esAffiliation
CyberDataLab · University of Murcia
Location
Spain