ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2308.15250
  4. Cited By
The Relative Gaussian Mechanism and its Application to Private Gradient
  Descent

The Relative Gaussian Mechanism and its Application to Private Gradient Descent

29 August 2023
Hadrien Hendrikx
Paul Mangold
A. Bellet
ArXivPDFHTML

Papers citing "The Relative Gaussian Mechanism and its Application to Private Gradient Descent"

3 / 3 papers shown
Title
BadGD: A unified data-centric framework to identify gradient descent
  vulnerabilities
BadGD: A unified data-centric framework to identify gradient descent vulnerabilities
ChiHua Wang
Guang Cheng
SILM
40
5
0
24 May 2024
Revisiting Gradient Clipping: Stochastic bias and tight convergence
  guarantees
Revisiting Gradient Clipping: Stochastic bias and tight convergence guarantees
Anastasia Koloskova
Hadrien Hendrikx
Sebastian U. Stich
104
48
0
02 May 2023
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
1