Skip to main content

Research Repository

Advanced Search

All Outputs (1)

HFL-GAN: scalable hierarchical federated learning GAN for high quantity heterogeneous clients (2024)
Journal Article
Petch, L., Moustafa, A., Ma, X., & Yasser, M. (2025). HFL-GAN: scalable hierarchical federated learning GAN for high quantity heterogeneous clients. Applied Intelligence, 55(2), Article 170. https://doi.org/10.1007/s10489-024-05924-x

This paper introduces a novel approach for training generative adversarial networks using federated machine learning. Generative adversarial networks have gained plenty of attention in the research community especially with their abilities to produce... Read More about HFL-GAN: scalable hierarchical federated learning GAN for high quantity heterogeneous clients.