Dynamic Privacy Budget Allocation Improves Data Efficiency of Differentially Private Gradient Descent

Junyuan Hong, Zhangyang Wang, Jiayu Zhou. Dynamic Privacy Budget Allocation Improves Data Efficiency of Differentially Private Gradient Descent. In FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21 - 24, 2022. pages 11-35, ACM, 2022. [doi]

@inproceedings{HongWZ22,
  title = {Dynamic Privacy Budget Allocation Improves Data Efficiency of Differentially Private Gradient Descent},
  author = {Junyuan Hong and Zhangyang Wang and Jiayu Zhou},
  year = {2022},
  doi = {10.1145/3531146.3533070},
  url = {https://doi.org/10.1145/3531146.3533070},
  researchr = {https://researchr.org/publication/HongWZ22},
  cites = {0},
  citedby = {0},
  pages = {11-35},
  booktitle = {FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21 - 24, 2022},
  publisher = {ACM},
  isbn = {978-1-4503-9352-2},
}