%0 Conference Paper %1 conf/fat/HongWZ22 %A Hong, Junyuan %A Wang, Zhangyang %A Zhou, Jiayu %B FAccT %D 2022 %I ACM %K dblp %P 11-35 %T Dynamic Privacy Budget Allocation Improves Data Efficiency of Differentially Private Gradient Descent. %U http://dblp.uni-trier.de/db/conf/fat/facct2022.html#HongWZ22 %@ 978-1-4503-9352-2

@inproceedings{conf/fat/HongWZ22, added-at = {2022-06-22T00:00:00.000+0200}, author = {Hong, Junyuan and Wang, Zhangyang and Zhou, Jiayu}, biburl = {https://www.bibsonomy.org/bibtex/20327f991d51186d2d31b6bf5df56521b/dblp}, booktitle = {FAccT}, crossref = {conf/fat/2022}, ee = {https://doi.org/10.1145/3531146.3533070}, interhash = {bc8bf967256783a02b3adf6288ef903f}, intrahash = {0327f991d51186d2d31b6bf5df56521b}, isbn = {978-1-4503-9352-2}, keywords = {dblp}, pages = {11-35}, publisher = {ACM}, timestamp = {2024-04-10T00:37:33.000+0200}, title = {Dynamic Privacy Budget Allocation Improves Data Efficiency of Differentially Private Gradient Descent.}, url = {http://dblp.uni-trier.de/db/conf/fat/facct2022.html#HongWZ22}, year = 2022 }