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Frequency Estimation in the Shuffle Model with Almost a Single Message

Frequency Estimation in the Shuffle Model with Almost a Single Message

12 November 2021
Qiyao Luo
Yilei Wang
K. Yi
    FedML
ArXivPDFHTML

Papers citing "Frequency Estimation in the Shuffle Model with Almost a Single Message"

5 / 5 papers shown
Title
Privacy Amplification via Shuffling: Unified, Simplified, and Tightened
Privacy Amplification via Shuffling: Unified, Simplified, and Tightened
Shaowei Wang
FedML
26
9
0
11 Apr 2023
Locally Differentially Private Sparse Vector Aggregation
Locally Differentially Private Sparse Vector Aggregation
Mingxun Zhou
Tianhao Wang
T-H. Hubert Chan
Giulia Fanti
E. Shi
FedML
39
28
0
07 Dec 2021
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
65
36
0
27 Sep 2021
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
141
420
0
29 Nov 2018
Prochlo: Strong Privacy for Analytics in the Crowd
Prochlo: Strong Privacy for Analytics in the Crowd
Andrea Bittau
Ulfar Erlingsson
Petros Maniatis
Ilya Mironov
A. Raghunathan
David Lie
Mitch Rudominer
Ushasree Kode
J. Tinnés
B. Seefeld
91
278
0
02 Oct 2017
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