Publicaciones en las que colabora con Irina Arévalo (6)

2025

  1. Concurrent vertical and horizontal federated learning with fuzzy cognitive maps

    Future Generation Computer Systems, Vol. 162

2024

  1. A Chaotic Maps-Based Privacy-Preserving Distributed Deep Learning for Incomplete and Non-IID Datasets

    IEEE Transactions on Emerging Topics in Computing, Vol. 12, Núm. 1, pp. 357-367

  2. Blind Federated Learning without initial model

    Journal of Big Data, Vol. 11, Núm. 1

  3. Privacy-preserving distributed learning with chaotic maps

    IEEE Conference on Evolving and Adaptive Intelligent Systems

2023

  1. Benchmarking federated strategies in Peer-to-Peer Federated learning for biomedical data

    Heliyon, Vol. 9, Núm. 6

2020

  1. A Privacy-Preserving, Distributed and Cooperative FCM-Based Learning Approach for Cancer Research

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)