ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1802.04705
  4. Cited By
Hadamard Response: Estimating Distributions Privately, Efficiently, and
  with Little Communication
v1v2 (latest)

Hadamard Response: Estimating Distributions Privately, Efficiently, and with Little Communication

13 February 2018
Jayadev Acharya
Ziteng Sun
Huanyu Zhang
ArXiv (abs)PDFHTML

Papers citing "Hadamard Response: Estimating Distributions Privately, Efficiently, and with Little Communication"

17 / 17 papers shown
Title
A Survey on Federated Analytics: Taxonomy, Enabling Techniques, Applications and Open Issues
A Survey on Federated Analytics: Taxonomy, Enabling Techniques, Applications and Open Issues
Zibo Wang
Haichao Ji
Yifei Zhu
Dan Wang
Zhu Han
110
1
0
19 Apr 2024
Distributed Simulation and Distributed Inference
Distributed Simulation and Distributed Inference
Jayadev Acharya
C. Canonne
Himanshu Tyagi
81
26
0
19 Apr 2018
Locally Private Hypothesis Testing
Locally Private Hypothesis Testing
Or Sheffet
69
52
0
09 Feb 2018
Optimal Schemes for Discrete Distribution Estimation under Locally
  Differential Privacy
Optimal Schemes for Discrete Distribution Estimation under Locally Differential Privacy
Min Ye
A. Barg
87
179
0
02 Feb 2017
Discrete Distribution Estimation under Local Privacy
Discrete Distribution Estimation under Local Privacy
Peter Kairouz
Kallista A. Bonawitz
Daniel Ramage
79
330
0
24 Feb 2016
Sample-Optimal Density Estimation in Nearly-Linear Time
Sample-Optimal Density Estimation in Nearly-Linear Time
Jayadev Acharya
Ilias Diakonikolas
Jingkai Li
Ludwig Schmidt
106
91
0
01 Jun 2015
Local, Private, Efficient Protocols for Succinct Histograms
Local, Private, Efficient Protocols for Succinct Histograms
Raef Bassily
Adam D. Smith
FedML
81
459
0
18 Apr 2015
RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response
RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response
Ulfar Erlingsson
Vasyl Pihur
Aleksandra Korolova
109
2,004
0
25 Jul 2014
Near-optimal-sample estimators for spherical Gaussian mixtures
Near-optimal-sample estimators for spherical Gaussian mixtures
A. Suresh
Ashkan Jafarpour
A. Orlitsky
Jayadev Acharya
148
92
0
19 Feb 2014
Faster and Sample Near-Optimal Algorithms for Proper Learning Mixtures
  of Gaussians
Faster and Sample Near-Optimal Algorithms for Proper Learning Mixtures of Gaussians
C. Daskalakis
Gautam Kamath
224
92
0
04 Dec 2013
The Composition Theorem for Differential Privacy
The Composition Theorem for Differential Privacy
Peter Kairouz
Sewoong Oh
Pramod Viswanath
170
685
0
04 Nov 2013
Efficient Density Estimation via Piecewise Polynomial Approximation
Efficient Density Estimation via Piecewise Polynomial Approximation
Siu On Chan
Ilias Diakonikolas
Rocco A. Servedio
Xiaorui Sun
124
116
0
14 May 2013
Privacy Aware Learning
Privacy Aware Learning
John C. Duchi
Michael I. Jordan
Martin J. Wainwright
190
291
0
07 Oct 2012
The Price of Privacy in Untrusted Recommendation Engines
The Price of Privacy in Untrusted Recommendation Engines
Siddhartha Banerjee
N. Hegde
Laurent Massoulié
116
18
0
13 Jul 2012
Distributed Private Heavy Hitters
Distributed Private Heavy Hitters
Justin Hsu
S. Khanna
Aaron Roth
FedML
83
112
0
22 Feb 2012
Differentially Private Empirical Risk Minimization
Differentially Private Empirical Risk Minimization
Kamalika Chaudhuri
C. Monteleoni
Anand D. Sarwate
170
1,490
0
01 Dec 2009
A statistical framework for differential privacy
A statistical framework for differential privacy
Larry A. Wasserman
Shuheng Zhou
140
488
0
16 Nov 2008
1