Decentralized Learning of Generative Adversarial Networks from Non-iid Data

Ryo Yonetani, Tomohiro Takahashi, Atsushi Hashimoto +1

This work addresses a new problem that learns generative adversarial networks (GANs) from multiple data collections that are each i) owned separately by different clients and ii) d…