Model-Parallel Learning of Generative Adversarial Networks and Its Implementation

Hojung Lee, Jong Seok Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publication2020 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728161648
DOIs
Publication statusPublished - 2020 Nov 1
Event2020 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2020 - Seoul, Korea, Republic of
Duration: 2020 Nov 12020 Nov 3

Publication series

Name2020 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2020

Conference

Conference2020 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2020
Country/TerritoryKorea, Republic of
CitySeoul
Period20/11/120/11/3

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Media Technology
  • Instrumentation

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