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Learning across Data Owners with Joint Differential Privacy

Learning across Data Owners with Joint Differential Privacy

25 May 2023
Yangsibo Huang
Haotian Jiang
Daogao Liu
Mohammad Mahdian
Jieming Mao
Vahab Mirrokni
    FedML
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Papers citing "Learning across Data Owners with Joint Differential Privacy"

2 / 2 papers shown
Title
Differentially Private Stochastic Optimization: New Results in Convex
  and Non-Convex Settings
Differentially Private Stochastic Optimization: New Results in Convex and Non-Convex Settings
Raef Bassily
Cristóbal Guzmán
Michael Menart
39
54
0
12 Jul 2021
Mechanism Design in Large Games: Incentives and Privacy
Michael Kearns
Mallesh M. Pai
Aaron Roth
Jonathan R. Ullman
87
182
0
17 Jul 2012
1