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Enrique Tomás Martínez Beltrán
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Enrique Tomás Martínez Beltrán

Ph.D. student at the University of Murcia working at the intersection of federated learning, cybersecurity, and privacy-preserving AI for real-world systems.

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  3. Sentinel: An Aggregation Function to Secure Decentralized Federated Learning
Conference paper2024

ECAI 2024 -- 27th European Conference on Artificial Intelligence

Sentinel: An Aggregation Function to Secure Decentralized Federated Learning

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Quick facts

Year
2024
Venue
ECAI 2024 -- 27th European Conference on Artificial Intelligence
Identifier
feng2024sentinel

Suggested citation

Chao Feng, Alberto Huertas Celdrán, Janosch Baltensperger, Enrique Tomás Martínez Beltrán, Pedro Miguel Sánchez Sánchez, Gérôme Bovet, Burkhard Stiller (2024). Sentinel: An Aggregation Function to Secure Decentralized Federated Learning. ECAI 2024 -- 27th European Conference on Artificial Intelligence.

Abstract

Authors

Chao FengAlberto Huertas CeldránJanosch BaltenspergerEnrique Tomás Martínez BeltránPedro Miguel Sánchez SánchezGérôme BovetBurkhard Stiller

Keywords

Related publications

Works with stronger overlap in topic, type, and tags.

Conference paper2024

IX Jornadas Nacionales de Investigación en Ciberseguridad (JNIC 2024)

Mitigación de ataques bizantinos usando modelos históricos en aprendizaje federado descentralizado

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

El Aprendizaje Federado Descentralizado emerge como una solución prometedora para entrenar modelos de inteligencia artificial de manera colaborativa, sin compartir directamente los datos y sin la necesidad de un servidor...

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Conference paper2022

VII Jornadas Nacionales de Investigación en Ciberseguridad (JNIC 2022)

A Review of Noise-based Cyberattacks Generating Fake P300 Waves in Brain-Computer Interfaces

Enrique Tomás Martínez Beltrán, Mario Quiles Pérez, Sergio López Bernal, Alberto Huertas Celdrán, Gregorio Martínez Pérez

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Conference paper2025

X Jornadas Nacionales de Investigación en Ciberseguridad (JNIC 2025)

Aprendizaje federado descentralizado y conciencia situacional para el reconocimiento aéreo militar seguro y resiliente

Enrique Tomás Martínez Beltrán, Miguel Fernández Llamas, Anas Zine Boujemaoui, Gérôme Bovet, Gregorio Martínez Pérez, Alberto Huertas Celdrán

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Related Research

DEFENDIS: Decentralized Federated Learning for IoT Device Identification and Security

Apr 2023 — Nov 2023

DEFENDIS: Decentralized Federated Learning for IoT Device Identification and Security

DEFENDIS develops a framework for uniquely identifying IoT devices in a distributed manner while solving security threats through decentralized federated learning.

EU-GUARDIAN: European Framework and Proofs-of-concept for the Intelligent Automation of Cyber Defence Incident Management

Dec 2022 — Nov 2025

EU-GUARDIAN: European Framework and Proofs-of-concept for the Intelligent Automation of Cyber Defence Incident Management

A cutting-edge AI-based solution for automating cyber defence incident management processes, enhancing EU cyber defence posture and operational capabilities.