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Private Vector Mean Estimation in the Shuffle Model: Optimal Rates
  Require Many Messages
v1v2 (latest)

Private Vector Mean Estimation in the Shuffle Model: Optimal Rates Require Many Messages

16 April 2024
Hilal Asi
Vitaly Feldman
Jelani Nelson
Huy Le Nguyen
Kunal Talwar
Samson Zhou
    FedML
ArXiv (abs)PDFHTML

Papers citing "Private Vector Mean Estimation in the Shuffle Model: Optimal Rates Require Many Messages"

3 / 3 papers shown
Title
PREAMBLE: Private and Efficient Aggregation via Block Sparse Vectors
PREAMBLE: Private and Efficient Aggregation via Block Sparse Vectors
Hilal Asi
Vitaly Feldman
Hannah Keller
G. Rothblum
Kunal Talwar
FedML
324
1
0
14 Mar 2025
Beyond Statistical Estimation: Differentially Private Individual Computation via Shuffling
Beyond Statistical Estimation: Differentially Private Individual Computation via Shuffling
Shaowei Wang
Changyu Dong
Xiangfu Song
Jin Li
Zhili Zhou
Di Wang
Han Wu
482
1
0
26 Jun 2024
Samplable Anonymous Aggregation for Private Federated Data Analysis
Samplable Anonymous Aggregation for Private Federated Data AnalysisConference on Computer and Communications Security (CCS), 2023
Kunal Talwar
Shan Wang
Audra McMillan
Vojta Jina
Vitaly Feldman
...
Congzheng Song
Karl Tarbe
Sebastian Vogt
L. Winstrom
Shundong Zhou
FedML
303
17
0
27 Jul 2023
1