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Private Learning on Networks

Private Learning on Networks

15 December 2016
Shripad Gade
Nitin H. Vaidya
    FedML
ArXiv (abs)PDFHTML

Papers citing "Private Learning on Networks"

6 / 6 papers shown
Title
Preserving Statistical Privacy in Distributed Optimization
Preserving Statistical Privacy in Distributed Optimization
Nirupam Gupta
Shripad Gade
Nikhil Chopra
Nitin H. Vaidya
FedML
49
9
0
03 Apr 2020
Distributed Differentially Private Computation of Functions with
  Correlated Noise
Distributed Differentially Private Computation of Functions with Correlated Noise
H. Imtiaz
Jafar Mohammadi
Anand D. Sarwate
OOD
78
10
0
22 Apr 2019
Statistical Privacy in Distributed Average Consensus on Bounded Real
  Inputs
Statistical Privacy in Distributed Average Consensus on Bounded Real Inputs
Nirupam Gupta
Jonathan Katz
Nikhil Chopra
48
18
0
20 Mar 2019
Cloud-based Quadratic Optimization with Partially Homomorphic Encryption
Cloud-based Quadratic Optimization with Partially Homomorphic Encryption
A. Alexandru
Konstantinos Gatsis
Yasser Shoukry
Sanjit A. Seshia
Paulo Tabuada
George J. Pappas
79
77
0
07 Sep 2018
Private Learning on Networks: Part II
Private Learning on Networks: Part II
Shripad Gade
Nitin H. Vaidya
168
11
0
27 Mar 2017
Distributed Optimization for Client-Server Architecture with Negative
  Gradient Weights
Distributed Optimization for Client-Server Architecture with Negative Gradient Weights
Shripad Gade
Nitin H. Vaidya
74
4
0
12 Aug 2016
1