NURIA RODRÍGUEZ BARROSO-rekin lankidetzan egindako argitalpenak (9)

2024

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

    IEEE/CAA Journal of Automatica Sinica, Vol. 11, Núm. 4, pp. 824-850

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

    IEEE International Conference on Fuzzy Systems

  3. Federated Learning for Exploiting Annotators’ Disagreements in Natural Language Processing

    Transactions of the Association for Computational Linguistics, Vol. 12, pp. 724-742

2023

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

    Information Fusion, Vol. 90, pp. 148-173

2022

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

    Knowledge-Based Systems, Vol. 245

  2. Dynamic defense against byzantine poisoning attacks in federated learning

    Future Generation Computer Systems, Vol. 133, pp. 1-9

2020

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

    Information Fusion, Vol. 64, pp. 270-292

2019

  1. Deep learning hyper-parameter tuning for sentiment analysis in twitter based on evolutionary algorithms

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

2018

  1. SCI2S at TASS 2018: Emotion classification with Recurrent Neural Networks

    CEUR Workshop Proceedings