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

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
ArXivPDFHTML

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

6 / 6 papers shown
Title
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
33
0
0
26 Jun 2024
Samplable Anonymous Aggregation for Private Federated Data Analysis
Samplable Anonymous Aggregation for Private Federated Data Analysis
Kunal Talwar
Shan Wang
Audra McMillan
Vojta Jina
Vitaly Feldman
...
Congzheng Song
Karl Tarbe
Sebastian Vogt
L. Winstrom
Shundong Zhou
FedML
28
13
0
27 Jul 2023
Aggregation and Transformation of Vector-Valued Messages in the Shuffle
  Model of Differential Privacy
Aggregation and Transformation of Vector-Valued Messages in the Shuffle Model of Differential Privacy
Mary Scott
Graham Cormode
Carsten Maple
35
11
0
31 Jan 2022
Differentially Private Aggregation in the Shuffle Model: Almost Central
  Accuracy in Almost a Single Message
Differentially Private Aggregation in the Shuffle Model: Almost Central Accuracy in Almost a Single Message
Badih Ghazi
Ravi Kumar
Pasin Manurangsi
Rasmus Pagh
Amer Sinha
FedML
55
36
0
27 Sep 2021
Private Aggregation from Fewer Anonymous Messages
Private Aggregation from Fewer Anonymous Messages
Badih Ghazi
Pasin Manurangsi
Rasmus Pagh
A. Velingker
FedML
37
55
0
24 Sep 2019
Amplification by Shuffling: From Local to Central Differential Privacy
  via Anonymity
Amplification by Shuffling: From Local to Central Differential Privacy via Anonymity
Ulfar Erlingsson
Vitaly Feldman
Ilya Mironov
A. Raghunathan
Kunal Talwar
Abhradeep Thakurta
134
420
0
29 Nov 2018
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