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Differentially Private SGD Without Clipping Bias: An Error-Feedback
  Approach

Differentially Private SGD Without Clipping Bias: An Error-Feedback Approach

24 November 2023
Xinwei Zhang
Zhiqi Bu
Zhiwei Steven Wu
Mingyi Hong
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Papers citing "Differentially Private SGD Without Clipping Bias: An Error-Feedback Approach"

3 / 3 papers shown
Title
DiSK: Differentially Private Optimizer with Simplified Kalman Filter for Noise Reduction
DiSK: Differentially Private Optimizer with Simplified Kalman Filter for Noise Reduction
Xinwei Zhang
Zhiqi Bu
Borja Balle
Mingyi Hong
Meisam Razaviyayn
Vahab Mirrokni
78
2
0
04 Oct 2024
Revisiting Gradient Clipping: Stochastic bias and tight convergence
  guarantees
Revisiting Gradient Clipping: Stochastic bias and tight convergence guarantees
Anastasia Koloskova
Hadrien Hendrikx
Sebastian U. Stich
112
50
0
02 May 2023
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
139
1,204
0
16 Aug 2016
1