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2102.13453
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Private and Utility Enhanced Recommendations with Local Differential Privacy and Gaussian Mixture Model
26 February 2021
Jeyamohan Neera
Xiaomin Chen
N. Aslam
Kezhi Wang
Zhan Shu
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Papers citing
"Private and Utility Enhanced Recommendations with Local Differential Privacy and Gaussian Mixture Model"
6 / 6 papers shown
Title
Secure Federated Matrix Factorization
Di Chai
Leye Wang
Kai Chen
Qiang Yang
FedML
44
319
0
12 Jun 2019
The Bounded Laplace Mechanism in Differential Privacy
N. Holohan
S. Antonatos
S. Braghin
Pól Mac Aonghusa
35
65
0
30 Aug 2018
Generalized Gaussian Mechanism for Differential Privacy
Fang Liu
105
135
0
19 Feb 2016
Fast Differentially Private Matrix Factorization
Ziqi Liu
Yu Wang
Alex Smola
FedML
89
124
0
06 May 2015
RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response
Ulfar Erlingsson
Vasyl Pihur
Aleksandra Korolova
92
1,992
0
25 Jul 2014
What Can We Learn Privately?
S. Kasiviswanathan
Homin K. Lee
Kobbi Nissim
Sofya Raskhodnikova
Adam D. Smith
126
1,465
0
06 Mar 2008
1