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The Power of The Hybrid Model for Mean Estimation

The Power of The Hybrid Model for Mean Estimation

29 November 2018
Brendan Avent
Yatharth Dubey
Aleksandra Korolova
ArXivPDFHTML

Papers citing "The Power of The Hybrid Model for Mean Estimation"

8 / 8 papers shown
Title
Private Distribution Learning with Public Data: The View from Sample
  Compression
Private Distribution Learning with Public Data: The View from Sample Compression
Shai Ben-David
Alex Bie
C. Canonne
Gautam Kamath
Vikrant Singhal
42
11
0
11 Aug 2023
Mean Estimation Under Heterogeneous Privacy: Some Privacy Can Be Free
Mean Estimation Under Heterogeneous Privacy: Some Privacy Can Be Free
Syomantak Chaudhuri
T. Courtade
30
4
0
27 Apr 2023
Private Estimation with Public Data
Private Estimation with Public Data
Alex Bie
Gautam Kamath
Vikrant Singhal
36
28
0
16 Aug 2022
New Lower Bounds for Private Estimation and a Generalized Fingerprinting
  Lemma
New Lower Bounds for Private Estimation and a Generalized Fingerprinting Lemma
Gautam Kamath
Argyris Mouzakis
Vikrant Singhal
FedML
42
26
0
17 May 2022
Private Aggregation from Fewer Anonymous Messages
Private Aggregation from Fewer Anonymous Messages
Badih Ghazi
Pasin Manurangsi
Rasmus Pagh
A. Velingker
FedML
51
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
150
420
0
29 Nov 2018
Privately Learning High-Dimensional Distributions
Privately Learning High-Dimensional Distributions
Gautam Kamath
Jerry Li
Vikrant Singhal
Jonathan R. Ullman
FedML
72
149
0
01 May 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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