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. 2208.02304
  4. Cited By
How Much Privacy Does Federated Learning with Secure Aggregation
  Guarantee?

How Much Privacy Does Federated Learning with Secure Aggregation Guarantee?

3 August 2022
A. Elkordy
Jiang Zhang
Yahya H. Ezzeldin
Konstantinos Psounis
A. Avestimehr
    FedML
ArXivPDFHTML

Papers citing "How Much Privacy Does Federated Learning with Secure Aggregation Guarantee?"

5 / 5 papers shown
Title
Guarding the Privacy of Label-Only Access to Neural Network Classifiers via iDP Verification
Guarding the Privacy of Label-Only Access to Neural Network Classifiers via iDP Verification
Anan Kabaha
Dana Drachsler-Cohen
AAML
60
0
0
23 Feb 2025
Measuring the Effects of Non-Identical Data Distribution for Federated
  Visual Classification
Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification
T. Hsu
Qi
Matthew Brown
FedML
106
1,128
0
13 Sep 2019
A Tail-Index Analysis of Stochastic Gradient Noise in Deep Neural
  Networks
A Tail-Index Analysis of Stochastic Gradient Noise in Deep Neural Networks
Umut Simsekli
Levent Sagun
Mert Gurbuzbalaban
75
241
0
18 Jan 2019
LEAF: A Benchmark for Federated Settings
LEAF: A Benchmark for Federated Settings
S. Caldas
Sai Meher Karthik Duddu
Peter Wu
Tian Li
Jakub Konecný
H. B. McMahan
Virginia Smith
Ameet Talwalkar
FedML
96
1,410
0
03 Dec 2018
The CLT in high dimensions: quantitative bounds via martingale embedding
The CLT in high dimensions: quantitative bounds via martingale embedding
Ronen Eldan
Dan Mikulincer
Alex Zhai
25
38
0
24 Jun 2018
1