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Private Gradient Descent for Linear Regression: Tighter Error Bounds and
  Instance-Specific Uncertainty Estimation

Private Gradient Descent for Linear Regression: Tighter Error Bounds and Instance-Specific Uncertainty Estimation

21 February 2024
Gavin Brown
Krishnamurthy Dvijotham
Georgina Evans
Daogao Liu
Adam D. Smith
Abhradeep Thakurta
ArXivPDFHTML

Papers citing "Private Gradient Descent for Linear Regression: Tighter Error Bounds and Instance-Specific Uncertainty Estimation"

3 / 3 papers shown
Title
(Nearly) Optimal Private Linear Regression via Adaptive Clipping
(Nearly) Optimal Private Linear Regression via Adaptive Clipping
Prateeksha Varshney
Abhradeep Thakurta
Prateek Jain
25
8
0
11 Jul 2022
New Lower Bounds for Private Estimation and a Generalized Fingerprinting
  Lemma
New Lower Bounds for Private Estimation and a Generalized Fingerprinting Lemma
Gautam Kamath
Argyris Mouzakis
Vikrant Singhal
FedML
19
26
0
17 May 2022
Privately Learning High-Dimensional Distributions
Privately Learning High-Dimensional Distributions
Gautam Kamath
Jerry Li
Vikrant Singhal
Jonathan R. Ullman
FedML
52
146
0
01 May 2018
1