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. 2112.14652
  4. Cited By
Private Rank Aggregation in Central and Local Models

Private Rank Aggregation in Central and Local Models

29 December 2021
Daniel Alabi
Badih Ghazi
Ravi Kumar
Pasin Manurangsi
    FedML
ArXiv (abs)PDFHTML

Papers citing "Private Rank Aggregation in Central and Local Models"

16 / 16 papers shown
Title
Differentially Private Correlation Clustering
Differentially Private Correlation Clustering
Mark Bun
Marek Eliáš
Janardhan Kulkarni
58
20
0
17 Feb 2021
Learning to Rank Learning Curves
Learning to Rank Learning Curves
Martin Wistuba
Tejaswini Pedapati
43
24
0
05 Jun 2020
Interaction is necessary for distributed learning with privacy or
  communication constraints
Interaction is necessary for distributed learning with privacy or communication constraints
Y. Dagan
Vitaly Feldman
38
12
0
11 Nov 2019
Private Rank Aggregation under Local Differential Privacy
Private Rank Aggregation under Local Differential Privacy
Ziqi Yan
Gang Li
Jiqiang Liu
36
22
0
13 Aug 2019
The Role of Interactivity in Local Differential Privacy
The Role of Interactivity in Local Differential Privacy
Matthew Joseph
Jieming Mao
Seth Neel
Aaron Roth
73
65
0
07 Apr 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
59
93
0
01 Feb 2019
Linear Queries Estimation with Local Differential Privacy
Linear Queries Estimation with Local Differential Privacy
Raef Bassily
53
44
0
05 Oct 2018
Tight Lower Bounds for Differentially Private Selection
Tight Lower Bounds for Differentially Private Selection
Thomas Steinke
Jonathan R. Ullman
80
75
0
10 Apr 2017
Between Pure and Approximate Differential Privacy
Between Pure and Approximate Differential Privacy
Thomas Steinke
Jonathan R. Ullman
FedML
83
160
0
24 Jan 2015
Interactive Fingerprinting Codes and the Hardness of Preventing False
  Discovery
Interactive Fingerprinting Codes and the Hardness of Preventing False Discovery
Thomas Steinke
Jonathan R. Ullman
78
109
0
05 Oct 2014
Fingerprinting Codes and the Price of Approximate Differential Privacy
Fingerprinting Codes and the Price of Approximate Differential Privacy
Mark Bun
Jonathan R. Ullman
Salil P. Vadhan
FedML
71
212
0
13 Nov 2013
Local Privacy, Data Processing Inequalities, and Statistical Minimax
  Rates
Local Privacy, Data Processing Inequalities, and Statistical Minimax Rates
John C. Duchi
Michael I. Jordan
Martin J. Wainwright
FedML
83
102
0
13 Feb 2013
Consensus ranking under the exponential model
Consensus ranking under the exponential model
M. Meilă
K. Phadnis
Arthur Patterson
J. Bilmes
64
138
0
20 Jun 2012
Conformant Planning via Symbolic Model Checking
Conformant Planning via Symbolic Model Checking
A. Cimatti
M. Roveri
88
961
0
01 Jun 2011
On the Geometry of Differential Privacy
On the Geometry of Differential Privacy
Moritz Hardt
Kunal Talwar
113
464
0
21 Jul 2009
What Can We Learn Privately?
What Can We Learn Privately?
S. Kasiviswanathan
Homin K. Lee
Kobbi Nissim
Sofya Raskhodnikova
Adam D. Smith
137
1,466
0
06 Mar 2008
1