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The Right Complexity Measure in Locally Private Estimation: It is not
  the Fisher Information

The Right Complexity Measure in Locally Private Estimation: It is not the Fisher Information

14 June 2018
John C. Duchi
Feng Ruan
ArXivPDFHTML

Papers citing "The Right Complexity Measure in Locally Private Estimation: It is not the Fisher Information"

15 / 15 papers shown
Title
General Gaussian Noise Mechanisms and Their Optimality for Unbiased Mean
  Estimation
General Gaussian Noise Mechanisms and Their Optimality for Unbiased Mean Estimation
Aleksandar Nikolov
Haohua Tang
49
4
0
31 Jan 2023
Ranking Differential Privacy
Ranking Differential Privacy
Shi Xu
W. Sun
Guang Cheng
29
1
0
02 Jan 2023
Contraction of Locally Differentially Private Mechanisms
Contraction of Locally Differentially Private Mechanisms
S. Asoodeh
Huanyu Zhang
26
10
0
24 Oct 2022
sqSGD: Locally Private and Communication Efficient Federated Learning
sqSGD: Locally Private and Communication Efficient Federated Learning
Yan Feng
Tao Xiong
Ruofan Wu
Lingjuan Lv
Leilei Shi
FedML
28
2
0
21 Jun 2022
The Cost of Privacy in Generalized Linear Models: Algorithms and Minimax
  Lower Bounds
The Cost of Privacy in Generalized Linear Models: Algorithms and Minimax Lower Bounds
T. Tony Cai
Yichen Wang
Linjun Zhang
FedML
43
20
0
08 Nov 2020
On Distributed Differential Privacy and Counting Distinct Elements
On Distributed Differential Privacy and Counting Distinct Elements
Lijie Chen
Badih Ghazi
Ravi Kumar
Pasin Manurangsi
FedML
23
29
0
21 Sep 2020
Fisher information under local differential privacy
Fisher information under local differential privacy
L. P. Barnes
Wei-Ning Chen
Ayfer Özgür
FedML
23
47
0
21 May 2020
Near Instance-Optimality in Differential Privacy
Near Instance-Optimality in Differential Privacy
Hilal Asi
John C. Duchi
26
38
0
16 May 2020
The Power of Factorization Mechanisms in Local and Central Differential
  Privacy
The Power of Factorization Mechanisms in Local and Central Differential Privacy
Alex Edmonds
Aleksandar Nikolov
Jonathan R. Ullman
32
57
0
19 Nov 2019
SoK: Differential Privacies
SoK: Differential Privacies
Damien Desfontaines
Balázs Pejó
33
122
0
04 Jun 2019
Private Identity Testing for High-Dimensional Distributions
Private Identity Testing for High-Dimensional Distributions
C. Canonne
Gautam Kamath
Audra McMillan
Jonathan R. Ullman
Lydia Zakynthinou
37
36
0
28 May 2019
Lower Bounds for Locally Private Estimation via Communication Complexity
Lower Bounds for Locally Private Estimation via Communication Complexity
John C. Duchi
Ryan M. Rogers
13
93
0
01 Feb 2019
Protection Against Reconstruction and Its Applications in Private
  Federated Learning
Protection Against Reconstruction and Its Applications in Private Federated Learning
Abhishek Bhowmick
John C. Duchi
Julien Freudiger
Gaurav Kapoor
Ryan M. Rogers
FedML
21
357
0
03 Dec 2018
Amplification by Shuffling: From Local to Central Differential Privacy
  via Anonymity
Amplification by Shuffling: From Local to Central Differential Privacy via Anonymity
Ulfar Erlingsson
Vitaly Feldman
Ilya Mironov
A. Raghunathan
Kunal Talwar
Abhradeep Thakurta
150
420
0
29 Nov 2018
Geometrizing rates of convergence under local differential privacy
  constraints
Geometrizing rates of convergence under local differential privacy constraints
Angelika Rohde
Lukas Steinberger
27
10
0
03 May 2018
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