Neural Network Training Acceleration Based on Hybrid Data and Model Parallelism

José Javier García; Juan Ramos; Juan José Guerrero; Andrés Bustos; Rafael Mayo-García

doi:10.14201/adcaij.32609

Neural Network Training Acceleration Based on Hybrid Data and Model Parallelism

José Javier García

Innovation Strategies (Spain) jose_javier.garcia_aranda[at]nokia.com
Juan Ramos

Innovation Strategies (Spain)
Juan José Guerrero

Innovation Strategies (Spain)
Andrés Bustos

Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas
Rafael Mayo-García

Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas

https://doi.org/10.14201/adcaij.32609

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How to Cite

García, J. J., Ramos, J., José Guerrero, J., Bustos, A., & Mayo-García, R. (2026). Neural Network Training Acceleration Based on Hybrid Data and Model Parallelism. ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, 14, e32609. https://doi.org/10.14201/adcaij.32609

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Editorial dates

Submitted:

22-11-2024

Acceptance:

21-12-2025

Published:

13-01-2026

Issue

Vol. 14 (2025)

Section

Articles

Keywords

machine learning
model parallelism
data parallelism
distributed computing
parallel computing

Supporting agencies

This work has been founded by Red.es with the project IDI2021/C005/00144167

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