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Personalized DP-SGD using Sampling Mechanisms

Personalized DP-SGD using Sampling Mechanisms

24 May 2023
Geon Heo
Junseok Seo
Steven Euijong Whang
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Papers citing "Personalized DP-SGD using Sampling Mechanisms"

5 / 5 papers shown
Title
Noise-Aware Algorithm for Heterogeneous Differentially Private Federated Learning
Noise-Aware Algorithm for Heterogeneous Differentially Private Federated Learning
Saber Malekmohammadi
Yaoliang Yu
Yang Cao
FedML
83
5
0
17 Feb 2025
Individual Privacy Accounting with Gaussian Differential Privacy
Individual Privacy Accounting with Gaussian Differential Privacy
A. Koskela
Marlon Tobaben
Antti Honkela
32
18
0
30 Sep 2022
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
144
348
0
25 Sep 2021
Federated Learning with Local Differential Privacy: Trade-offs between
  Privacy, Utility, and Communication
Federated Learning with Local Differential Privacy: Trade-offs between Privacy, Utility, and Communication
Muah Kim
Onur Gunlu
Rafael F. Schaefer
FedML
101
118
0
09 Feb 2021
Individual Privacy Accounting via a Renyi Filter
Individual Privacy Accounting via a Renyi Filter
Vitaly Feldman
Tijana Zrnic
46
86
0
25 Aug 2020
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