Publicaciones (58) Publicaciones de MARÍA VICTORIA LUZÓN GARCÍA

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2026

  1. Addressing data quality decompensation in federated learning via dynamic client selection

    Future Generation Computer Systems, Vol. 176

2025

  1. An interpretable client decision tree aggregation process for federated learning

    Information Sciences, Vol. 694

  2. FLEX: Flexible Federated Learning Framework

    Information Fusion, Vol. 117

  3. Green-EDP: aligning personalization in federated learning and green artificial intelligence throughout the encoder-decoder architecture

    Progress in Artificial Intelligence

  4. Improving (α,f)-Byzantine resilience in federated learning via layerwise aggregation and cosine distance

    Knowledge-Based Systems, Vol. 326

  5. Improving Krum's Byzantine Resilience in Federated Learning via layerwise aggregation

    Proceedings of the International Joint Conference on Neural Networks

  6. Membership Inference Attacks Fueled by Few-Shot Learning to Detect Privacy Leakage and Address Data Integrity

    Machine Learning and Knowledge Extraction, Vol. 7, Núm. 2

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

  3. Personalised Federated Learning with BERT Fine Tuning. Case Study on Twitter Sentiment Analysis

    Lecture Notes in Networks and Systems

2021

  1. ADOPS: Aspect Discovery OPinion Summarisation Methodology based on deep learning and subgroup discovery for generating explainable opinion summaries

    Knowledge-Based Systems, Vol. 231

  2. New research methods & algorithms in social network analysis

    Future Generation Computer Systems

  3. New trends and applications in social media analytics

    Future Generation Computer Systems

2020

  1. Enhancing the classification of social media opinions by optimizing the structural information

    Future Generation Computer Systems, Vol. 102, pp. 838-846

  2. 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

  3. What do people think about this monument? Understanding negative reviews via deep learning, clustering and descriptive rules

    Journal of Ambient Intelligence and Humanized Computing, Vol. 11, Núm. 1, pp. 39-52