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Communication efficient privacy-preserving distributed optimization
  using adaptive differential quantization

Communication efficient privacy-preserving distributed optimization using adaptive differential quantization

30 May 2021
Qiongxiu Li
Richard Heusdens
M. G. Christensen
ArXivPDFHTML

Papers citing "Communication efficient privacy-preserving distributed optimization using adaptive differential quantization"

4 / 4 papers shown
Title
Privacy-Preserving Distributed Processing: Metrics, Bounds, and
  Algorithms
Privacy-Preserving Distributed Processing: Metrics, Bounds, and Algorithms
Qiongxiu Li
Jaron Skovsted Gundersen
Richard Heusdens
M. G. Christensen
46
33
0
02 Sep 2020
Information-Theoretic Generalization Bounds for SGLD via Data-Dependent
  Estimates
Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates
Jeffrey Negrea
Mahdi Haghifam
Gintare Karolina Dziugaite
Ashish Khisti
Daniel M. Roy
FedML
148
149
0
06 Nov 2019
Information-theoretic metrics for Local Differential Privacy protocols
Information-theoretic metrics for Local Differential Privacy protocols
Milan Lopuhaä-Zwakenberg
B. Škorić
Ninghui Li
31
15
0
17 Oct 2019
Differentially Private Distributed Optimization
Differentially Private Distributed Optimization
Zhenqi Huang
Sayan Mitra
Nitin H. Vaidya
FedML
58
261
0
12 Jan 2014
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