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 language | English |
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Title of host publication | 2020 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2020 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781728161648 |
DOIs | |
Publication status | Published - 2020 Nov 1 |
Event | 2020 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2020 - Seoul, Korea, Republic of Duration: 2020 Nov 1 → 2020 Nov 3 |
Publication series
Name | 2020 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2020 |
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Conference
Conference | 2020 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2020 |
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Country/Territory | Korea, Republic of |
City | Seoul |
Period | 20/11/1 → 20/11/3 |
Bibliographical note
Publisher Copyright:© 2020 IEEE.
All Science Journal Classification (ASJC) codes
- Computer Science Applications
- Electrical and Electronic Engineering
- Media Technology
- Instrumentation