Nuria Rodríguez Barroso

According to our database, Nuria Rodríguez Barroso authored at least 9 papers between 2018 and 2024.

Collaborative distances:

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

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

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