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2208.02304
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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
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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
Anan Kabaha
Dana Drachsler-Cohen
AAML
60
0
0
23 Feb 2025
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
Umut Simsekli
Levent Sagun
Mert Gurbuzbalaban
75
241
0
18 Jan 2019
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
Ronen Eldan
Dan Mikulincer
Alex Zhai
25
38
0
24 Jun 2018
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