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Nuria Rodríguez Barroso
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2020 – today
- 2024
- [j6]María Victoria Luzón
, Nuria Rodríguez Barroso
A Tutorial on Federated Learning from Theory to Practice: Foundations, Software Frameworks, Exemplary Use Cases, and Selected Trends. IEEE CAA J. Autom. Sinica 11(4): 824-850 (2024) - [j5]Nuria Rodríguez Barroso, Eugenio Martínez Cámara
Federated Learning for Exploiting Annotators' Disagreements in Natural Language Processing. Trans. Assoc. Comput. Linguistics 12: 630-648 (2024) - [c3]Nuria Rodríguez Barroso, Javier Del Ser, María Victoria Luzón, Francisco Herrera:
Defense Strategy against Byzantine Attacks in Federated Machine Learning: Developments towards Explainability. FUZZ 2024: 1-8 - [i6]Francisco Herrera, Daniel Jiménez-López, Alberto Argente-Garrido, Nuria Rodríguez Barroso, Cristina Zuheros, Ignacio Aguilera-Martos, Beatriz Bello, Mario García-Márquez, María Victoria Luzón:
FLEX: FLEXible Federated Learning Framework. CoRR abs/2404.06127 (2024) - [i5]Nuria Rodríguez Barroso, María Victoria Luzón, Francisco Herrera:
RAB2-DEF: Dynamic and explainable defense against adversarial attacks in Federated Learning to fair poor clients. CoRR abs/2410.08244 (2024) - 2023
- [j4]Nuria Rodríguez Barroso
Survey on federated learning threats: Concepts, taxonomy on attacks and defences, experimental study and challenges. Inf. Fusion 90: 148-173 (2023) - [i4]Daniel Jiménez-López, Nuria Rodríguez Barroso, María Victoria Luzón, Francisco Herrera:
Can we infer the presence of Differential Privacy in Deep Learning models' weights? Towards more secure Deep Learning. CoRR abs/2311.11717 (2023) - 2022
- [j3]Nuria Rodríguez Barroso
Dynamic defense against byzantine poisoning attacks in federated learning. Future Gener. Comput. Syst. 133: 1-9 (2022) - [j2]Nuria Rodríguez Barroso
Backdoor attacks-resilient aggregation based on Robust Filtering of Outliers in federated learning for image classification. Knowl. Based Syst. 245: 108588 (2022) - [i3]Nuria Rodríguez Barroso, Daniel Jiménez-López, María Victoria Luzón, Francisco Herrera, Eugenio Martínez-Cámara:
Survey on Federated Learning Threats: concepts, taxonomy on attacks and defences, experimental study and challenges. CoRR abs/2201.08135 (2022) - 2020
- [j1]Nuria Rodríguez Barroso
Federated Learning and Differential Privacy: Software tools analysis, the Sherpa.ai FL framework and methodological guidelines for preserving data privacy. Inf. Fusion 64: 270-292 (2020) - [i2]Nuria Rodríguez Barroso, Goran Stipcich, Daniel Jiménez-López, José Antonio Ruiz-Millán, Eugenio Martínez-Cámara, Gerardo González-Seco, María Victoria Luzón, Miguel Ángel Veganzones, Francisco Herrera:
Federated Learning and Differential Privacy: Software tools analysis, the Sherpa.ai FL framework and methodological guidelines for preserving data privacy. CoRR abs/2007.00914 (2020) - [i1]Nuria Rodríguez Barroso, Eugenio Martínez-Cámara, María Victoria Luzón, Gerardo González-Seco, Miguel Ángel Veganzones, Francisco Herrera:
Dynamic Federated Learning Model for Identifying Adversarial Clients. CoRR abs/2007.15030 (2020)
2010 – 2019
- 2019
- [c2]Eugenio Martínez Cámara
Deep Learning Hyper-parameter Tuning for Sentiment Analysis in Twitter based on Evolutionary Algorithms. FedCSIS 2019: 255-264 - 2018
- [c1]Nuria Rodríguez Barroso, Eugenio Martínez-Cámara, Francisco Herrera:
SCI2S at TASS 2018: Emotion Classification with Recurrent Neural Networks. TASS@SEPLN 2018: 117-123
Coauthor Index
aka: Eugenio Martínez Cámara
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