most citedFedstellar: A Platform for Decentralized Federated Learning

82 citations · 86 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CR2025

Simulating Cyberattacks through a Breach Attack Simulation (BAS) Platform empowered by Security Chaos Engineering (SCE)

Arturo Sánchez-Matas, Pablo Escribano Ruiz, Daniel Díaz-López +3

In today digital landscape, organizations face constantly evolving cyber threats, making it essential to discover slippery attack vectors through novel techniques like Security Cha…

cs.LG2025★ 1 cited

ShaTS: A Shapley-based Explainability Method for Time Series Artificial Intelligence Models applied to Anomaly Detection in Industrial Internet of Things

Manuel Franco de la Peña, Ángel Luis Perales Gómez, Lorenzo Fernández Maimó

Industrial Internet of Things environments increasingly rely on advanced Anomaly Detection and explanation techniques to rapidly detect and mitigate cyberincidents, thereby ensurin…

cs.CR2023★ 3 cited

TemporalFED: Detecting Cyberattacks in Industrial Time-Series Data Using Decentralized Federated Learning

Ángel Luis Perales Gómez, Enrique Tomás Martínez Beltrán, Pedro Miguel Sánchez Sánchez +1

Industry 4.0 has brought numerous advantages, such as increasing productivity through automation. However, it also presents major cybersecurity issues such as cyberattacks affectin…

cs.LG2023★ 82 cited

Fedstellar: A Platform for Decentralized Federated Learning

Enrique Tomás Martínez Beltrán, Ángel Luis Perales Gómez, Chao Feng +6

In 2016, Google proposed Federated Learning (FL) as a novel paradigm to train Machine Learning (ML) models across the participants of a federation while preserving data privacy. Si…