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

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

19 January 2021
Junyuan Hong
Zhangyang Wang
Jiayu Zhou
ArXivPDFHTML

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

3 / 3 papers shown
Title
Bridging Today and the Future of Humanity: AI Safety in 2024 and Beyond
Bridging Today and the Future of Humanity: AI Safety in 2024 and Beyond
Shanshan Han
87
1
0
09 Oct 2024
Distributed Harmonization: Federated Clustered Batch Effect Adjustment
  and Generalization
Distributed Harmonization: Federated Clustered Batch Effect Adjustment and Generalization
Hoang Bao
Yijiang Pang
Siqi Liang
Liang Zhan
Paul Thompson
Jiayu Zhou
FedML
48
1
0
23 May 2024
Linear Convergence of Gradient and Proximal-Gradient Methods Under the
  Polyak-Łojasiewicz Condition
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition
Hamed Karimi
J. Nutini
Mark Schmidt
141
1,205
0
16 Aug 2016
1