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2007.13660
Cited By
Learning discrete distributions: user vs item-level privacy
27 July 2020
Yuhan Liu
A. Suresh
Felix X. Yu
Sanjiv Kumar
Michael Riley
FedML
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Papers citing
"Learning discrete distributions: user vs item-level privacy"
12 / 12 papers shown
Title
Better Locally Private Sparse Estimation Given Multiple Samples Per User
Yuheng Ma
Ke Jia
Hanfang Yang
FedML
36
1
0
08 Aug 2024
Improved Bounds for Pure Private Agnostic Learning: Item-Level and User-Level Privacy
Bo Li
Wei Wang
Peng Ye
FedML
21
0
0
30 Jul 2024
Personalized Privacy-Preserving Framework for Cross-Silo Federated Learning
Van Tuan Tran
Huy Hieu Pham
Kok-Seng Wong
FedML
21
7
0
22 Feb 2023
Does Federated Learning Really Need Backpropagation?
H. Feng
Tianyu Pang
Chao Du
Wei-Neng Chen
Shuicheng Yan
Min-Bin Lin
FedML
22
10
0
28 Jan 2023
Learning to Generate Image Embeddings with User-level Differential Privacy
Zheng Xu
Maxwell D. Collins
Yuxiao Wang
Liviu Panait
Sewoong Oh
S. Augenstein
Ting Liu
Florian Schroff
H. B. McMahan
FedML
22
29
0
20 Nov 2022
Towards Standardized Mobility Reports with User-Level Privacy
Alexandra Kapp
Saskia Nuñez von Voigt
Helena Mihaljević
Florian Tschorsch
21
2
0
19 Sep 2022
Algorithms with More Granular Differential Privacy Guarantees
Badih Ghazi
Ravi Kumar
Pasin Manurangsi
Thomas Steinke
44
6
0
08 Sep 2022
Subject Membership Inference Attacks in Federated Learning
Anshuman Suri
Pallika H. Kanani
Virendra J. Marathe
Daniel W. Peterson
14
25
0
07 Jun 2022
LIA: Privacy-Preserving Data Quality Evaluation in Federated Learning Using a Lazy Influence Approximation
Ljubomir Rokvic
Panayiotis Danassis
Sai Praneeth Karimireddy
Boi Faltings
TDI
18
1
0
23 May 2022
User-Level Private Learning via Correlated Sampling
Badih Ghazi
Ravi Kumar
Pasin Manurangsi
FedML
21
13
0
21 Oct 2021
On the Sample Complexity of Privately Learning Unbounded High-Dimensional Gaussians
Ishaq Aden-Ali
H. Ashtiani
Gautam Kamath
32
41
0
19 Oct 2020
Privately Learning High-Dimensional Distributions
Gautam Kamath
Jerry Li
Vikrant Singhal
Jonathan R. Ullman
FedML
62
147
0
01 May 2018
1