H-nobs: Achieving Certified Fairness and Robustness in Distributed Learning on Heterogeneous Datasets
Guanqiang Zhou, Ping Xu, Yue Wang, Zhi Tian
2/12/2026
No confident code implementation found for this paper.
No confident code implementation found for this paper.
No confident code match yet
We couldn't find an author-owned or strongly-evidenced community implementation for this paper. Any repos shown below are weak matches — verify before relying on them.
No code implementations found yet.
Know of an implementation? Let us know in the comments below!
@article{zhou2026hnobs,
title = {H-nobs: Achieving Certified Fairness and Robustness in Distributed Learning on Heterogeneous Datasets},
author = {Guanqiang Zhou and Ping Xu and Yue Wang and Zhi Tian},
year = {2026},
url = {https://api.semanticscholar.org/CorpusID:b9a0cc54ed17481eeebdd148670f7fe5f4787f60},
journal = {NEURIPS 2023 2023}
}