XuILVQ: A River Implementation of the Incremental Learning Vector Quantization for IoT. - Martín González Soto; Bruno Fernández Castro; Rebeca P. Díaz Redondo; Manuel Fernández-Veiga (PE-WASUN, 2022)

A Blockchain Solution for Collaborative Machine Learning over IoT. - Carlos Beis-Penedo; Francisco Troncoso-Pastoriza; Rebeca P. Díaz Redondo; Ana Fernández Vilas; Manuel Fernández-Veiga; Martín González Soto (CoRR, 2023)

Decentralised and collaborative machine learning framework for IoT. - Martín González Soto; Rebeca P. Díaz Redondo; Manuel Fernández-Veiga; Bruno Rodríguez-Castro; Ana Fernández Vilas (CoRR, 2023)

Towards efficient compression and communication for prototype-based decentralized learning. - Pablo Fernández-Piñeiro; Manuel Ferández-Veiga; Rebeca P. Díaz Redondo; Ana Fernández Vilas; Martín González Soto (CoRR, 2024)

Decentralized and collaborative machine learning framework for IoT. - Martín González Soto; Rebeca P. Díaz Redondo; Manuel Fernández-Veiga; Bruno Fernández Castro; Ana Fernández Vilas (Comput. Networks, 2024)

Towards efficient compression and communication for prototype-based decentralized learning. - Pablo Fernández-Piñeiro; Manuel Fernández-Veiga; Rebeca P. Díaz Redondo; Ana Fernández Vilas; Martín González Soto (Appl. Soft Comput., 2025)