The NSF Public Access Repository (PAR) system and access will be unavailable from 11:00 PM ET on Thursday, January 16 until 2:00 AM ET on Friday, January 17 due to maintenance. We apologize for the inconvenience.
Explore Research Products in the PAR It may take a few hours for recently added research products to appear in PAR search results.
Zhou, Guangqiang, Xu, Ping, Wang, Yue, and Tian, Zhi. H-nob: Achieving certified fairness and robustness in distributed learning on heterogeneous datasets. Retrieved from https://par.nsf.gov/biblio/10543235.
Zhou, Guangqiang, Xu, Ping, Wang, Yue, and Tian, Zhi.
"H-nob: Achieving certified fairness and robustness in distributed learning on heterogeneous datasets". Country unknown/Code not available: Thirty-seventh Conference on Neural Information Processing Systems. https://par.nsf.gov/biblio/10543235.
@article{osti_10543235,
place = {Country unknown/Code not available},
title = {H-nob: Achieving certified fairness and robustness in distributed learning on heterogeneous datasets},
url = {https://par.nsf.gov/biblio/10543235},
abstractNote = {},
journal = {},
publisher = {Thirty-seventh Conference on Neural Information Processing Systems},
author = {Zhou, Guangqiang and Xu, Ping and Wang, Yue and Tian, Zhi},
}
Warning: Leaving National Science Foundation Website
You are now leaving the National Science Foundation website to go to a non-government website.
Website:
NSF takes no responsibility for and exercises no control over the views expressed or the accuracy of
the information contained on this site. Also be aware that NSF's privacy policy does not apply to this site.