activity
20192021
most citedFederated Learning and Differential Privacy: Software tools analysis, the Sherpa.ai FL framework and methodological guidelines for preserving data privacy

149 citations · 210 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CY2021★ 3 cited

A survey on extremism analysis using Natural Language Processing

Javier Torregrosa, Gema Bello-Orgaz, Eugenio Martinez-Camara +2

Extremism research has grown as an open problem for several countries during recent years, especially due to the apparition of movements such as jihadism. This and other extremist…

cs.CL2020

Sentiment Analysis based Multi-person Multi-criteria Decision Making Methodology using Natural Language Processing and Deep Learning for Smarter Decision Aid. Case study of restaurant choice using TripAdvisor reviews

Cristina Zuheros, Eugenio Martínez-Cámara, Enrique Herrera-Viedma +1

Decision making models are constrained by taking the expert evaluations with pre-defined numerical or linguistic terms. We claim that the use of sentiment analysis will allow decis…

cs.LG2020★ 54 cited

Dynamic Defense Against Byzantine Poisoning Attacks in Federated Learning

Nuria Rodríguez-Barroso, Eugenio Martínez-Cámara, M. Victoria Luzón +1

Federated learning, as a distributed learning that conducts the training on the local devices without accessing to the training data, is vulnerable to Byzatine poisoning adversaria…

cs.LG2020★ 149 cited

Federated Learning and Differential Privacy: Software tools analysis, the Sherpa.ai FL framework and methodological guidelines for preserving data privacy

Nuria Rodríguez-Barroso, Goran Stipcich, Daniel Jiménez-López +6

The high demand of artificial intelligence services at the edges that also preserve data privacy has pushed the research on novel machine learning paradigms that fit those requirem…

cs.CL2019★ 4 cited

Learning Cross-lingual Embeddings from Twitter via Distant Supervision

Jose Camacho-Collados, Yerai Doval, Eugenio Martínez-Cámara +3

Cross-lingual embeddings represent the meaning of words from different languages in the same vector space. Recent work has shown that it is possible to construct such representatio…