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2211.10082
Cited By
Private Federated Statistics in an Interactive Setting
18 November 2022
Audra McMillan
O. Javidbakht
Kunal Talwar
Elliot Briggs
Mike Chatzidakis
Junye Chen
John C. Duchi
Vitaly Feldman
Yusuf Goren
Michael Hesse
Vojta Jina
A. Katti
Albert Liu
Cheney Lyford
Joey Meyer
Alex L. Palmer
David Park
Wonhee Park
Gianni Parsa
Paul J. Pelzl
Rehan Rishi
Congzheng Song
Shan Wang
Shundong Zhou
FedML
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Papers citing
"Private Federated Statistics in an Interactive Setting"
7 / 7 papers shown
Title
SoK: A Review of Differentially Private Linear Models For High-Dimensional Data
Amol Khanna
Edward Raff
Nathan Inkawhich
21
4
0
01 Apr 2024
Randomized algorithms for precise measurement of differentially-private, personalized recommendations
Allegra Laro
Yanqing Chen
Hao He
Babak Aghazadeh
31
0
0
07 Aug 2023
Differentially Private Heavy Hitter Detection using Federated Analytics
Karan N. Chadha
Junye Chen
John C. Duchi
Vitaly Feldman
H. Hashemi
O. Javidbakht
Audra McMillan
Kunal Talwar
FedML
27
7
0
21 Jul 2023
Population Expansion for Training Language Models with Private Federated Learning
Tatsuki Koga
Congzheng Song
Martin Pelikan
Mona Chitnis
FedML
24
1
0
14 Jul 2023
One-Shot Federated Conformal Prediction
Pierre Humbert
B. L. Bars
A. Bellet
Sylvain Arlot
FedML
32
15
0
13 Feb 2023
Private Aggregation from Fewer Anonymous Messages
Badih Ghazi
Pasin Manurangsi
Rasmus Pagh
A. Velingker
FedML
47
55
0
24 Sep 2019
Amplification by Shuffling: From Local to Central Differential Privacy via Anonymity
Ulfar Erlingsson
Vitaly Feldman
Ilya Mironov
A. Raghunathan
Kunal Talwar
Abhradeep Thakurta
147
420
0
29 Nov 2018
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