Gautam Kamath 0001, Xingtu Liu, Huanyu Zhang. Improved Rates for Differentially Private Stochastic Convex Optimization with Heavy-Tailed Data. In Kamalika Chaudhuri, Stefanie Jegelka, Le Song, Csaba Szepesvári, Gang Niu 0001, Sivan Sabato, editors, International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA. Volume 162 of Proceedings of Machine Learning Research, pages 10633-10660, PMLR, 2022. [doi]
@inproceedings{0001LZ22,
title = {Improved Rates for Differentially Private Stochastic Convex Optimization with Heavy-Tailed Data},
author = {Gautam Kamath 0001 and Xingtu Liu and Huanyu Zhang},
year = {2022},
url = {https://proceedings.mlr.press/v162/kamath22a.html},
researchr = {https://researchr.org/publication/0001LZ22},
cites = {0},
citedby = {0},
pages = {10633-10660},
booktitle = {International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA},
editor = {Kamalika Chaudhuri and Stefanie Jegelka and Le Song and Csaba Szepesvári and Gang Niu 0001 and Sivan Sabato},
volume = {162},
series = {Proceedings of Machine Learning Research},
publisher = {PMLR},
}