ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2002.01919
  4. Cited By
Pure Differentially Private Summation from Anonymous Messages

Pure Differentially Private Summation from Anonymous Messages

5 February 2020
Badih Ghazi
Noah Golowich
Ravi Kumar
Pasin Manurangsi
Rasmus Pagh
A. Velingker
    FedML
ArXivPDFHTML

Papers citing "Pure Differentially Private Summation from Anonymous Messages"

14 / 14 papers shown
Title
Pure-DP Aggregation in the Shuffle Model: Error-Optimal and
  Communication-Efficient
Pure-DP Aggregation in the Shuffle Model: Error-Optimal and Communication-Efficient
Badih Ghazi
Ravi Kumar
Pasin Manurangsi
FedML
26
2
0
28 May 2023
Amplification by Shuffling without Shuffling
Amplification by Shuffling without Shuffling
Borja Balle
James Bell
Adria Gascon
FedML
30
2
0
18 May 2023
Distributed Differential Privacy in Multi-Armed Bandits
Distributed Differential Privacy in Multi-Armed Bandits
Sayak Ray Chowdhury
Xingyu Zhou
19
12
0
12 Jun 2022
Pure Differential Privacy from Secure Intermediaries
Pure Differential Privacy from Secure Intermediaries
Albert Cheu
Chao Yan
FedML
12
9
0
19 Dec 2021
User-Level Private Learning via Correlated Sampling
User-Level Private Learning via Correlated Sampling
Badih Ghazi
Ravi Kumar
Pasin Manurangsi
FedML
21
13
0
21 Oct 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
55
36
0
27 Sep 2021
Private Counting from Anonymous Messages: Near-Optimal Accuracy with
  Vanishing Communication Overhead
Private Counting from Anonymous Messages: Near-Optimal Accuracy with Vanishing Communication Overhead
Badih Ghazi
Ravi Kumar
Pasin Manurangsi
Rasmus Pagh
FedML
24
48
0
08 Jun 2021
The Distributed Discrete Gaussian Mechanism for Federated Learning with
  Secure Aggregation
The Distributed Discrete Gaussian Mechanism for Federated Learning with Secure Aggregation
Peter Kairouz
Ziyu Liu
Thomas Steinke
FedML
8
232
0
12 Feb 2021
Privacy Amplification by Decentralization
Privacy Amplification by Decentralization
Edwige Cyffers
A. Bellet
FedML
40
39
0
09 Dec 2020
Connecting Robust Shuffle Privacy and Pan-Privacy
Connecting Robust Shuffle Privacy and Pan-Privacy
Victor Balcer
Albert Cheu
Matthew Joseph
Jieming Mao
FedML
12
41
0
20 Apr 2020
Separating Local & Shuffled Differential Privacy via Histograms
Separating Local & Shuffled Differential Privacy via Histograms
Victor Balcer
Albert Cheu
FedML
27
67
0
15 Nov 2019
Improved Summation from Shuffling
Improved Summation from Shuffling
Borja Balle
James Bell
Adria Gascon
Kobbi Nissim
FedML
48
22
0
24 Sep 2019
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
136
420
0
29 Nov 2018
1