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Distributed DP-Helmet: Scalable Differentially Private Non-interactive
  Averaging of Single Layers

Distributed DP-Helmet: Scalable Differentially Private Non-interactive Averaging of Single Layers

3 November 2022
Moritz Kirschte
Sebastian Meiser
Saman Ardalan
Esfandiar Mohammadi
    FedML
ArXivPDFHTML

Papers citing "Distributed DP-Helmet: Scalable Differentially Private Non-interactive Averaging of Single Layers"

3 / 3 papers shown
Title
Opacus: User-Friendly Differential Privacy Library in PyTorch
Opacus: User-Friendly Differential Privacy Library in PyTorch
Ashkan Yousefpour
I. Shilov
Alexandre Sablayrolles
Davide Testuggine
Karthik Prasad
...
Sayan Gosh
Akash Bharadwaj
Jessica Zhao
Graham Cormode
Ilya Mironov
VLM
152
349
0
25 Sep 2021
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
296
39,194
0
01 Sep 2014
A simpler approach to obtaining an O(1/t) convergence rate for the
  projected stochastic subgradient method
A simpler approach to obtaining an O(1/t) convergence rate for the projected stochastic subgradient method
Simon Lacoste-Julien
Mark W. Schmidt
Francis R. Bach
121
259
0
10 Dec 2012
1