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Sample Complexity Bounds on Differentially Private Learning via
  Communication Complexity

Sample Complexity Bounds on Differentially Private Learning via Communication Complexity

25 February 2014
Vitaly Feldman
David Xiao
ArXivPDFHTML

Papers citing "Sample Complexity Bounds on Differentially Private Learning via Communication Complexity"

16 / 16 papers shown
Title
An \tilde{O}ptimal Differentially Private Learner for Concept Classes with VC Dimension 1
An \tilde{O}ptimal Differentially Private Learner for Concept Classes with VC Dimension 1
Chao Yan
16
0
0
10 May 2025
Improved Bounds for Pure Private Agnostic Learning: Item-Level and User-Level Privacy
Improved Bounds for Pure Private Agnostic Learning: Item-Level and User-Level Privacy
Bo Li
Wei Wang
Peng Ye
FedML
31
0
0
30 Jul 2024
PILLAR: How to make semi-private learning more effective
PILLAR: How to make semi-private learning more effective
Francesco Pinto
Yaxian Hu
Fanny Yang
Amartya Sanyal
46
11
0
06 Jun 2023
A Unified Characterization of Private Learnability via Graph Theory
A Unified Characterization of Private Learnability via Graph Theory
N. Alon
Shay Moran
Hilla Schefler
Amir Yehudayoff
29
2
0
08 Apr 2023
Certified private data release for sparse Lipschitz functions
Certified private data release for sparse Lipschitz functions
Konstantin Donhauser
J. Lokna
Amartya Sanyal
M. Boedihardjo
R. Honig
Fanny Yang
39
3
0
19 Feb 2023
Private Isotonic Regression
Private Isotonic Regression
Badih Ghazi
Pritish Kamath
Ravi Kumar
Pasin Manurangsi
21
0
0
27 Oct 2022
Algorithms with More Granular Differential Privacy Guarantees
Algorithms with More Granular Differential Privacy Guarantees
Badih Ghazi
Ravi Kumar
Pasin Manurangsi
Thomas Steinke
56
6
0
08 Sep 2022
Memory Bounds for Continual Learning
Memory Bounds for Continual Learning
Xi Chen
Christos H. Papadimitriou
Binghui Peng
CLL
LRM
29
22
0
22 Apr 2022
Provably Private Distributed Averaging Consensus: An
  Information-Theoretic Approach
Provably Private Distributed Averaging Consensus: An Information-Theoretic Approach
Mohammad Fereydounian
Aryan Mokhtari
Ramtin Pedarsani
Hamed Hassani
FedML
24
2
0
18 Feb 2022
Reproducibility in Learning
Reproducibility in Learning
R. Impagliazzo
Rex Lei
T. Pitassi
Jessica Sorrell
16
43
0
20 Jan 2022
Quantum statistical query learning
Quantum statistical query learning
Srinivasan Arunachalam
A. Grilo
Henry Yuen
15
32
0
19 Feb 2020
Privately Learning Thresholds: Closing the Exponential Gap
Privately Learning Thresholds: Closing the Exponential Gap
Haim Kaplan
Katrina Ligett
Yishay Mansour
M. Naor
Uri Stemmer
15
55
0
22 Nov 2019
Private PAC learning implies finite Littlestone dimension
Private PAC learning implies finite Littlestone dimension
N. Alon
Roi Livni
M. Malliaris
Shay Moran
13
109
0
04 Jun 2018
Privacy-preserving Prediction
Privacy-preserving Prediction
Cynthia Dwork
Vitaly Feldman
8
90
0
27 Mar 2018
Order-Revealing Encryption and the Hardness of Private Learning
Order-Revealing Encryption and the Hardness of Private Learning
Mark Bun
Mark Zhandry
FedML
30
34
0
03 May 2015
Learning Privately with Labeled and Unlabeled Examples
Learning Privately with Labeled and Unlabeled Examples
A. Beimel
Kobbi Nissim
Uri Stemmer
35
23
0
10 Jul 2014
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