activity
20212026
most citedDynamic Management of a Deep Learning-Based Anomaly Detection System for 5G Networks

77 citations · 95 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CR2026★ 77 cited

Dynamic Management of a Deep Learning-Based Anomaly Detection System for 5G Networks

Lorenzo Fernández Maimó, Alberto Huertas Celdrán, Manuel Gil Pérez +2

Fog and mobile edge computing (MEC) will play a key role in the upcoming fifth generation (5G) mobile networks to support decentralized applications, data analytics and management…

cs.CR2023★ 2 cited

Mitigating Communications Threats in Decentralized Federated Learning through Moving Target Defense

Enrique Tomás Martínez Beltrán, Pedro Miguel Sánchez Sánchez, Sergio López Bernal +4

The rise of Decentralized Federated Learning (DFL) has enabled the training of machine learning models across federated participants, fostering decentralized model aggregation and…

cs.CR2023

Single-board Device Individual Authentication based on Hardware Performance and Autoencoder Transformer Models

Pedro Miguel Sánchez Sánchez, Alberto Huertas Celdrán, Gérôme Bovet +1

The proliferation of the Internet of Things (IoT) has led to the emergence of crowdsensing applications, where a multitude of interconnected devices collaboratively collect and ana…

cs.LG2022★ 4 cited

Analyzing the Robustness of Decentralized Horizontal and Vertical Federated Learning Architectures in a Non-IID Scenario

Pedro Miguel Sánchez Sánchez, Alberto Huertas Celdrán, Enrique Tomás Martínez Beltrán +4

Federated learning (FL) allows participants to collaboratively train machine and deep learning models while protecting data privacy. However, the FL paradigm still presents drawbac…

eess.SP2022★ 2 cited

Studying Drowsiness Detection Performance while Driving through Scalable Machine Learning Models using Electroencephalography

José Manuel Hidalgo Rogel, Enrique Tomás Martínez Beltrán, Mario Quiles Pérez +3

- Background / Introduction: Driver drowsiness is a significant concern and one of the leading causes of traffic accidents. Advances in cognitive neuroscience and computer science…

cs.CR2021★ 10 cited

Robust Federated Learning for execution time-based device model identification under label-flipping attack

Pedro Miguel Sánchez Sánchez, Alberto Huertas Celdrán, José Rafael Buendía Rubio +2

The computing device deployment explosion experienced in recent years, motivated by the advances of technologies such as Internet-of-Things (IoT) and 5G, has led to a global scenar…