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Inherit Differential Privacy in Distributed Setting: Multiparty
  Randomized Function Computation

Inherit Differential Privacy in Distributed Setting: Multiparty Randomized Function Computation

11 April 2016
Genqiang Wu
Yeping He
Jingzheng Wu
Xianyao Xia
    FedML
ArXiv (abs)PDFHTML

Papers citing "Inherit Differential Privacy in Distributed Setting: Multiparty Randomized Function Computation"

5 / 5 papers shown
Title
FastLloyd: Federated, Accurate, Secure, and Tunable $k$-Means Clustering with Differential Privacy
FastLloyd: Federated, Accurate, Secure, and Tunable kkk-Means Clustering with Differential Privacy
Abdulrahman Diaa
Thomas Humphries
Florian Kerschbaum
FedML
71
0
0
03 May 2024
Near-Optimal Algorithms for Differentially-Private Principal Components
Near-Optimal Algorithms for Differentially-Private Principal Components
Kamalika Chaudhuri
Anand D. Sarwate
Kaushik Sinha
99
158
0
12 Jul 2012
Distributed Private Data Analysis: On Simultaneously Solving How and
  What
Distributed Private Data Analysis: On Simultaneously Solving How and What
A. Beimel
Kobbi Nissim
Eran Omri
FedML
118
207
0
14 Mar 2011
Differentially Private Empirical Risk Minimization
Differentially Private Empirical Risk Minimization
Kamalika Chaudhuri
C. Monteleoni
Anand D. Sarwate
158
1,490
0
01 Dec 2009
Composition Attacks and Auxiliary Information in Data Privacy
Composition Attacks and Auxiliary Information in Data Privacy
S. R. Ganta
S. Kasiviswanathan
Adam D. Smith
144
423
0
01 Mar 2008
1