Nuria Rodríguez Barroso

29 papers B 2C 1Journal 24Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Addressing data quality decompensation in federated learning via dynamic client selection. Future Gener. Comput. Syst. Qinjun Fei, Nuria Rodríguez Barroso, María Victoria Luzón, Zhongliang Zhang, Francisco Herrera
2026	J	`jnl`	From privacy to trust in the agentic era: a taxonomy of challenges in trustworthy federated learning through the lens of trust report 2.0. Inf. Fusion Nuria Rodríguez Barroso, Mario García-Márquez, María Victoria Luzón, Francisco Herrera
2026	J	`jnl`	RAB Mach. Intell. Res. Nuria Rodríguez Barroso, María Victoria Luzón, Francisco Herrera
2026	J	`jnl`	Resilient Federated Chain: Transforming Blockchain Consensus into an Active Defense Layer for Federated Learning. CoRR Mario García-Márquez, Nuria Rodríguez Barroso, María Victoria Luzón, Francisco Herrera
2025	J	`jnl`	Addressing Data Quality Decompensation in Federated Learning via Dynamic Client Selection. CoRR Qinjun Fei, Nuria Rodríguez Barroso, María Victoria Luzón, Zhongliang Zhang, Francisco Herrera
2025	J	`jnl`	Challenges of Trustworthy Federated Learning: What's Done, Current Trends and Remaining Work. CoRR Nuria Rodríguez Barroso, Mario García-Márquez, María Victoria Luzón, Francisco Herrera
2025	J	`jnl`	FLEX: Flexible Federated Learning Framework. Inf. Fusion Francisco Herrera, Daniel Jiménez-López, Alberto Argente-Garrido, Nuria Rodríguez Barroso, Cristina Zuheros, Ignacio Aguilera-Martos, Beatriz Bello, Mario García-Márquez, María Victoria Luzón
2025	J	`jnl`	Improving (α, f)-Byzantine Resilience in Federated Learning via layerwise aggregation and cosine distance. CoRR Mario García-Márquez, Nuria Rodríguez Barroso, María Victoria Luzón, Francisco Herrera
2025	J	`jnl`	Improving (α,f)-Byzantine resilience in federated learning via layerwise aggregation and cosine distance. Knowl. Based Syst. Mario García-Márquez, Nuria Rodríguez Barroso, María Victoria Luzón, Francisco Herrera
2025	B	`conf`	Improving Krum's Byzantine Resilience in Federated Learning via layerwise aggregation. IJCNN Mario García-Márquez, Nuria Rodríguez Barroso, María Victoria Luzón, Francisco Herrera
2025	J	`jnl`	Krum Federated Chain (KFC): Using blockchain to defend against adversarial attacks in Federated Learning. CoRR Mario García-Márquez, Nuria Rodríguez Barroso, María Victoria Luzón, Francisco Herrera
2025	J	`jnl`	Membership Inference Attacks Fueled by Few-Shot Learning to Detect Privacy Leakage and Address Data Integrity. Mach. Learn. Knowl. Extr. Daniel Jiménez-López, Nuria Rodríguez Barroso, María Victoria Luzón, Javier Del Ser, Francisco Herrera
2025	J	`jnl`	Membership Inference Attacks fueled by Few-Short Learning to detect privacy leakage tackling data integrity. CoRR Daniel Jiménez-López, Nuria Rodríguez Barroso, María Victoria Luzón, Francisco Herrera
2025	B	`conf`	Security Threats to Explainable Classifiers in Federated Learning. IJCNN Mattia Daole, Pietro Ducange, Francisco Herrera, Francesco Marcelloni, Alessandro Renda, Nuria Rodríguez Barroso
2024	J	`jnl`	A Tutorial on Federated Learning from Theory to Practice: Foundations, Software Frameworks, Exemplary Use Cases, and Selected Trends. IEEE CAA J. Autom. Sinica María Victoria Luzón, Nuria Rodríguez Barroso, Alberto Argente-Garrido, Daniel Jiménez-López, Jose M. Moyano, Javier Del Ser, Weiping Ding, Francisco Herrera
2024	—	`conf`	Defense Strategy against Byzantine Attacks in Federated Machine Learning: Developments towards Explainability. FUZZ Nuria Rodríguez Barroso, Javier Del Ser, María Victoria Luzón, Francisco Herrera
2024	J	`jnl`	FLEX: FLEXible Federated Learning Framework. CoRR Francisco Herrera, Daniel Jiménez-López, Alberto Argente-Garrido, Nuria Rodríguez Barroso, Cristina Zuheros, Ignacio Aguilera-Martos, Beatriz Bello, Mario García-Márquez, María Victoria Luzón
2024	J	`jnl`	Federated Learning for Exploiting Annotators' Disagreements in Natural Language Processing. Trans. Assoc. Comput. Linguistics Nuria Rodríguez Barroso, Eugenio Martínez Cámara, José Camacho-Collados, María Victoria Luzón, Francisco Herrera
2024	J	`jnl`	RAB CoRR Nuria Rodríguez Barroso, María Victoria Luzón, Francisco Herrera
2023	J	`jnl`	Can we infer the presence of Differential Privacy in Deep Learning models' weights? Towards more secure Deep Learning. CoRR Daniel Jiménez-López, Nuria Rodríguez Barroso, María Victoria Luzón, Francisco Herrera
2023	J	`jnl`	Survey on federated learning threats: Concepts, taxonomy on attacks and defences, experimental study and challenges. Inf. Fusion Nuria Rodríguez Barroso, Daniel Jiménez-López, María Victoria Luzón, Francisco Herrera, Eugenio Martínez-Cámara
2022	J	`jnl`	Backdoor attacks-resilient aggregation based on Robust Filtering of Outliers in federated learning for image classification. Knowl. Based Syst. Nuria Rodríguez Barroso, Eugenio Martínez-Cámara, María Victoria Luzón, Francisco Herrera
2022	J	`jnl`	Dynamic defense against byzantine poisoning attacks in federated learning. Future Gener. Comput. Syst. Nuria Rodríguez Barroso, Eugenio Martínez-Cámara, María Victoria Luzón, Francisco Herrera
2022	J	`jnl`	Survey on Federated Learning Threats: concepts, taxonomy on attacks and defences, experimental study and challenges. CoRR Nuria Rodríguez Barroso, Daniel Jiménez-López, María Victoria Luzón, Francisco Herrera, Eugenio Martínez-Cámara
2020	J	`jnl`	Dynamic Federated Learning Model for Identifying Adversarial Clients. CoRR Nuria Rodríguez Barroso, Eugenio Martínez-Cámara, María Victoria Luzón, Gerardo González-Seco, Miguel Ángel Veganzones, Francisco Herrera
2020	J	`jnl`	Federated Learning and Differential Privacy: Software tools analysis, the Sherpa.ai FL framework and methodological guidelines for preserving data privacy. CoRR 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
2020	J	`jnl`	Federated Learning and Differential Privacy: Software tools analysis, the Sherpa.ai FL framework and methodological guidelines for preserving data privacy. Inf. Fusion 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
2019	C	`conf`	Deep Learning Hyper-parameter Tuning for Sentiment Analysis in Twitter based on Evolutionary Algorithms. FedCSIS Eugenio Martínez Cámara, Nuria Rodríguez Barroso, Antonio R. Moya, José Alberto Fernández, Elena Romero, Francisco Herrera
2018	—	`conf`	SCI TASS@SEPLN Nuria Rodríguez Barroso, Eugenio Martínez-Cámara, Francisco Herrera