Model-Parallel Learning of Generative Adversarial Networks and Its Implementation

In this paper, we propose a novel model-parallel training approach for generative adversarial networks (GANs). We show that our method achieves faster training than the conventional method by implementing our method on an embedded single board computer. Code is available at https://github.com/hjdw2/GAN_model_parallel.