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Geometric Lower Bounds for Distributed Parameter Estimation under Communication Constraints
23 February 2018
Yanjun Han
Ayfer Özgür
Tsachy Weissman
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Papers citing
"Geometric Lower Bounds for Distributed Parameter Estimation under Communication Constraints"
30 / 30 papers shown
Title
Breaking The Dimension Dependence in Sparse Distribution Estimation under Communication Constraints
Wei-Ning Chen
Peter Kairouz
Ayfer Özgür
39
11
0
16 Jun 2021
Inference under Information Constraints III: Local Privacy Constraints
Jayadev Acharya
C. Canonne
Cody R. Freitag
Ziteng Sun
Himanshu Tyagi
70
35
0
20 Jan 2021
Estimating Sparse Discrete Distributions Under Local Privacy and Communication Constraints
Jayadev Acharya
Peter Kairouz
Yuhan Liu
Ziteng Sun
45
5
0
30 Oct 2020
Unified lower bounds for interactive high-dimensional estimation under information constraints
Jayadev Acharya
C. Canonne
Ziteng Sun
Himanshu Tyagi
90
30
0
13 Oct 2020
Breaking the Communication-Privacy-Accuracy Trilemma
Wei-Ning Chen
Peter Kairouz
Ayfer Özgür
130
120
0
22 Jul 2020
Locally private non-asymptotic testing of discrete distributions is faster using interactive mechanisms
Thomas B. Berrett
C. Butucea
58
35
0
26 May 2020
Fisher information under local differential privacy
L. P. Barnes
Wei-Ning Chen
Ayfer Özgür
FedML
86
48
0
21 May 2020
Pan-Private Uniformity Testing
Kareem Amin
Matthew Joseph
Jieming Mao
81
24
0
04 Nov 2019
Minimax Bounds for Distributed Logistic Regression
Florent Chiaroni
N. Hueber
FedML
24
5
0
03 Oct 2019
Domain Compression and its Application to Randomness-Optimal Distributed Goodness-of-Fit
Jayadev Acharya
C. Canonne
Yanjun Han
Ziteng Sun
Himanshu Tyagi
48
24
0
20 Jul 2019
Communication Complexity in Locally Private Distribution Estimation and Heavy Hitters
Jayadev Acharya
Ziteng Sun
76
60
0
28 May 2019
Inference under Information Constraints II: Communication Constraints and Shared Randomness
Jayadev Acharya
C. Canonne
Himanshu Tyagi
58
53
0
20 May 2019
Lower Bounds for Locally Private Estimation via Communication Complexity
John C. Duchi
Ryan M. Rogers
61
93
0
01 Feb 2019
Inference under Information Constraints I: Lower Bounds from Chi-Square Contraction
Jayadev Acharya
C. Canonne
Himanshu Tyagi
83
111
0
30 Dec 2018
Protection Against Reconstruction and Its Applications in Private Federated Learning
Abhishek Bhowmick
John C. Duchi
Julien Freudiger
Gaurav Kapoor
Ryan M. Rogers
FedML
95
360
0
03 Dec 2018
Distributed Simulation and Distributed Inference
Jayadev Acharya
C. Canonne
Himanshu Tyagi
66
26
0
19 Apr 2018
Hadamard Response: Estimating Distributions Privately, Efficiently, and with Little Communication
Jayadev Acharya
Ziteng Sun
Huanyu Zhang
78
149
0
13 Feb 2018
Optimal Schemes for Discrete Distribution Estimation under Locally Differential Privacy
Min Ye
A. Barg
87
179
0
02 Feb 2017
Information-Theoretic Lower Bounds on Bayes Risk in Decentralized Estimation
Aolin Xu
Maxim Raginsky
117
54
0
02 Jul 2016
Minimax Optimal Procedures for Locally Private Estimation
John C. Duchi
Martin J. Wainwright
Michael I. Jordan
83
437
0
08 Apr 2016
Discrete Distribution Estimation under Local Privacy
Peter Kairouz
Kallista A. Bonawitz
Daniel Ramage
77
330
0
24 Feb 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data
H. B. McMahan
Eider Moore
Daniel Ramage
S. Hampson
Blaise Agüera y Arcas
FedML
408
17,615
0
17 Feb 2016
Communication Lower Bounds for Statistical Estimation Problems via a Distributed Data Processing Inequality
M. Braverman
A. Garg
Tengyu Ma
Huy Le Nguyen
David P. Woodruff
FedML
98
175
0
24 Jun 2015
On Bayes Risk Lower Bounds
Xinyu Chen
Adityanand Guntuboyina
Yuchen Zhang
83
47
0
02 Oct 2014
On Communication Cost of Distributed Statistical Estimation and Dimensionality
A. Garg
Tengyu Ma
Huy Le Nguyen
100
102
0
07 May 2014
Fundamental Limits of Online and Distributed Algorithms for Statistical Learning and Estimation
Ohad Shamir
111
108
0
14 Nov 2013
Distance-based and continuum Fano inequalities with applications to statistical estimation
John C. Duchi
Martin J. Wainwright
74
66
0
12 Nov 2013
Efficient Protocols for Distributed Classification and Optimization
Hal Daumé
J. M. Phillips
A. Saha
Suresh Venkatasubramanian
104
41
0
16 Apr 2012
Protocols for Learning Classifiers on Distributed Data
Hal Daumé
J. M. Phillips
A. Saha
Suresh Venkatasubramanian
75
29
0
27 Feb 2012
Optimal Distributed Online Prediction using Mini-Batches
O. Dekel
Ran Gilad-Bachrach
Ohad Shamir
Lin Xiao
282
685
0
07 Dec 2010
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