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. 2109.12191
  4. Cited By
NanoBatch Privacy: Enabling fast Differentially Private learning on the
  IPU

NanoBatch Privacy: Enabling fast Differentially Private learning on the IPU

24 September 2021
Edward H. Lee
M. M. Krell
Alexander Tsyplikhin
Victoria Rege
E. Colak
Kristen W. Yeom
    FedML
ArXivPDFHTML

Papers citing "NanoBatch Privacy: Enabling fast Differentially Private learning on the IPU"

1 / 1 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
1