GANs

2 items

RESEARCHDEV.to AI·4/23/2026

FedGAN: Federated Generative Adversarial Networks for Distributed Data

FedGAN is a Federated Generative Adversarial Network designed for distributed data. Its goal is to enable the training of generative models while preserving privacy, without centralizing user data.

GANs machine learning distributed systems federated learning

RESEARCHDEV.to AI·4/28/2026

A Large-Scale Study on Regularization and Normalization in GANs

This large-scale study investigates the effectiveness of various regularization and normalization techniques in Generative Adversarial Networks (GANs). It aims to deepen the understanding of how these methods impact GAN training stability and quality.

GANs machine learning Normalization regularization