Wang, Junxiang, Chai, Zheng, Cheng, Yue, and Zhao, Liang. Toward Model Parallelism for Deep Neural Network Based on Gradient-Free ADMM Framework. Retrieved from https://par.nsf.gov/biblio/10279527. International Conference on Data Mining . Web. doi:10.1109/ICDM50108.2020.00068.
Wang, Junxiang, Chai, Zheng, Cheng, Yue, & Zhao, Liang. Toward Model Parallelism for Deep Neural Network Based on Gradient-Free ADMM Framework. International Conference on Data Mining, (). Retrieved from https://par.nsf.gov/biblio/10279527. https://doi.org/10.1109/ICDM50108.2020.00068
@article{osti_10279527,
place = {Country unknown/Code not available},
title = {Toward Model Parallelism for Deep Neural Network Based on Gradient-Free ADMM Framework},
url = {https://par.nsf.gov/biblio/10279527},
DOI = {10.1109/ICDM50108.2020.00068},
abstractNote = {},
journal = {International Conference on Data Mining},
author = {Wang, Junxiang and Chai, Zheng and Cheng, Yue and Zhao, Liang},
editor = {null}
}
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