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Sharper Utility Bounds for Differentially Private Models

Sharper Utility Bounds for Differentially Private Models

22 April 2022
Yilin Kang
Yong Liu
Jian Li
Weiping Wang
    FedML
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Papers citing "Sharper Utility Bounds for Differentially Private Models"

4 / 4 papers shown
Title
Faster WIND: Accelerating Iterative Best-of-$N$ Distillation for LLM Alignment
Faster WIND: Accelerating Iterative Best-of-NNN Distillation for LLM Alignment
Tong Yang
Jincheng Mei
H. Dai
Zixin Wen
Shicong Cen
Dale Schuurmans
Yuejie Chi
Bo Dai
43
4
0
20 Feb 2025
Differentially Private Stochastic Gradient Descent with Low-Noise
Differentially Private Stochastic Gradient Descent with Low-Noise
Puyu Wang
Yunwen Lei
Yiming Ying
Ding-Xuan Zhou
FedML
38
5
0
09 Sep 2022
Differentially Private Correlation Clustering
Differentially Private Correlation Clustering
Mark Bun
Marek Eliáš
Janardhan Kulkarni
27
20
0
17 Feb 2021
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 W. Schmidt
133
1,198
0
16 Aug 2016
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