Nuria Rodríguez Barroso

According to our database, Nuria Rodríguez Barroso authored at least 14 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Krum Federated Chain (KFC): Using blockchain to defend against adversarial attacks in Federated Learning.

Mario García-Márquez, Nuria Rodríguez Barroso, María Victoria Luzón, Francisco Herrera

CoRR, February, 2025

FLEX: Flexible Federated Learning Framework.

Francisco Herrera, Daniel Jiménez-López, Alberto Argente-Garrido, Nuria Rodríguez Barroso, Cristina Zuheros, Ignacio Aguilera-Martos, Beatriz Bello, Mario García-Márquez, María Victoria Luzón

Inf. Fusion, 2025

2024

A Tutorial on Federated Learning from Theory to Practice: Foundations, Software Frameworks, Exemplary Use Cases, and Selected Trends.

María Victoria Luzón, Nuria Rodríguez Barroso, Alberto Argente-Garrido, Daniel Jiménez-López, Jose M. Moyano, Javier Del Ser, Weiping Ding, Francisco Herrera

IEEE CAA J. Autom. Sinica, April, 2024

Federated Learning for Exploiting Annotators' Disagreements in Natural Language Processing.

Nuria Rodríguez Barroso, Eugenio Martínez Cámara, José Camacho-Collados, María Victoria Luzón, Francisco Herrera

Trans. Assoc. Comput. Linguistics, 2024

RAB²-DEF: Dynamic and explainable defense against adversarial attacks in Federated Learning to fair poor clients.

Nuria Rodríguez Barroso, María Victoria Luzón, Francisco Herrera

CoRR, 2024

Defense Strategy against Byzantine Attacks in Federated Machine Learning: Developments towards Explainability.

Nuria Rodríguez Barroso, Javier Del Ser, María Victoria Luzón, Francisco Herrera

Proceedings of the IEEE International Conference on Fuzzy Systems, 2024

2023

Survey on federated learning threats: Concepts, taxonomy on attacks and defences, experimental study and challenges.

Nuria Rodríguez Barroso, Daniel Jiménez-López, María Victoria Luzón, Francisco Herrera, Eugenio Martínez-Cámara

Inf. Fusion, 2023

Can we infer the presence of Differential Privacy in Deep Learning models' weights? Towards more secure Deep Learning.

Daniel Jiménez-López, Nuria Rodríguez Barroso, María Victoria Luzón, Francisco Herrera

CoRR, 2023

2022

Backdoor attacks-resilient aggregation based on Robust Filtering of Outliers in federated learning for image classification.

Nuria Rodríguez Barroso, Eugenio Martínez-Cámara, María Victoria Luzón, Francisco Herrera

Knowl. Based Syst., 2022

Dynamic defense against byzantine poisoning attacks in federated learning.

Nuria Rodríguez Barroso, Eugenio Martínez-Cámara, María Victoria Luzón, Francisco Herrera

Future Gener. Comput. Syst., 2022

2020

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, José Antonio Ruiz-Millán, Eugenio Martínez-Cámara, Gerardo González-Seco, María Victoria Luzón, Miguel Angel Veganzones, Francisco Herrera

Inf. Fusion, 2020

Dynamic Federated Learning Model for Identifying Adversarial Clients.

Nuria Rodríguez Barroso, Eugenio Martínez-Cámara, María Victoria Luzón, Gerardo González-Seco, Miguel Ángel Veganzones, Francisco Herrera

CoRR, 2020

2019

Deep Learning Hyper-parameter Tuning for Sentiment Analysis in Twitter based on Evolutionary Algorithms.

Eugenio Martínez Cámara, Nuria Rodríguez Barroso, Antonio R. Moya, José Alberto Fernández, Elena Romero, Francisco Herrera

Proceedings of the 2019 Federated Conference on Computer Science and Information Systems, 2019

2018

SCI²S at TASS 2018: Emotion Classification with Recurrent Neural Networks.

Nuria Rodríguez Barroso, Eugenio Martínez-Cámara, Francisco Herrera

Proceedings of TASS 2018: Workshop on Semantic Analysis at SEPLN, 2018