activity
20222026
most citedFedstellar: A Platform for Decentralized Federated Learning

82 citations · 93 across the 4 of their papers we have counts for

collaborators

4 papers

cs.LG2026

SYNAPSE: Framework for Neuron Analysis and Perturbation in Sequence Encoding

Jesús Sánchez Ochoa, Enrique Tomás Martínez Beltrán, Alberto Huertas Celdrán

In recent years, Artificial Intelligence has become a powerful partner for complex tasks such as data analysis, prediction, and problem-solving, yet its lack of transparency raises…

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…

cs.HC2022★ 9 cited

When Brain-Computer Interfaces Meet the Metaverse: Landscape, Demonstrator, Trends, Challenges, and Concerns

Sergio López Bernal, Mario Quiles Pérez, Enrique Tomás Martínez Beltrán +2

The metaverse has gained tremendous popularity in recent years, allowing the interconnection of users worldwide. However, current systems in metaverse scenarios, such as virtual re…

eess.SP2022★ 2 cited

Data Fusion in Neuromarketing: Multimodal Analysis of Biosignals, Lifecycle Stages, Current Advances, Datasets, Trends, and Challenges

Mario Quiles Pérez, Enrique Tomás Martínez Beltrán, Sergio López Bernal +4

The primary goal of any company is to increase its profits by improving both the quality of its products and how they are advertised. In this context, neuromarketing seeks to enhan…