Guanqiang Zhou, Ping Xu, Yue Wang 0019, Zhi Tian. H-nobs: Achieving Certified Fairness and Robustness in Distributed Learning on Heterogeneous Datasets. In Alice Oh, Tristan Naumann, Amir Globerson, Kate Saenko, Moritz Hardt, Sergey Levine, editors, Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023. 2023. [doi]
@inproceedings{ZhouX0T23,
title = {H-nobs: Achieving Certified Fairness and Robustness in Distributed Learning on Heterogeneous Datasets},
author = {Guanqiang Zhou and Ping Xu and Yue Wang 0019 and Zhi Tian},
year = {2023},
url = {http://papers.nips.cc/paper_files/paper/2023/hash/6ad5d39b10e37915d7dfda2893d8e924-Abstract-Conference.html},
researchr = {https://researchr.org/publication/ZhouX0T23},
cites = {0},
citedby = {0},
booktitle = {Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023},
editor = {Alice Oh and Tristan Naumann and Amir Globerson and Kate Saenko and Moritz Hardt and Sergey Levine},
}