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Distributed Simulation and Distributed Inference
v1v2v3 (latest)

Distributed Simulation and Distributed Inference

19 April 2018
Jayadev Acharya
C. Canonne
Himanshu Tyagi
ArXiv (abs)PDFHTML

Papers citing "Distributed Simulation and Distributed Inference"

14 / 14 papers shown
Title
Regularized Classification-Aware Quantization
Regularized Classification-Aware Quantization
Daniel de Souza Severo
E. Domanovitz
Ashish Khisti
MQ
63
0
0
12 Jul 2021
Strong Privacy and Utility Guarantee: Over-the-Air Statistical
  Estimation
Strong Privacy and Utility Guarantee: Over-the-Air Statistical Estimation
Wenhao Zhan
122
0
0
26 Oct 2020
Interactive Inference under Information Constraints
Interactive Inference under Information Constraints
Jayadev Acharya
C. Canonne
Yuhan Liu
Ziteng Sun
Himanshu Tyagi
357
39
0
21 Jul 2020
Fisher information under local differential privacy
Fisher information under local differential privacy
L. P. Barnes
Wei-Ning Chen
Ayfer Özgür
FedML
152
53
0
21 May 2020
Advances and Open Problems in Federated Learning
Advances and Open Problems in Federated Learning
Peter Kairouz
H. B. McMahan
Brendan Avent
A. Bellet
M. Bennis
...
Zheng Xu
Qiang Yang
Felix X. Yu
Han Yu
Sen Zhao
FedMLAI4CE
467
7,136
0
10 Dec 2019
On Distributed Quantization for Classification
On Distributed Quantization for ClassificationIEEE Journal on Selected Areas in Information Theory (JSAIT), 2019
Osama A. Hanna
Yahya H. Ezzeldin
Tara Sadjadpour
Christina Fragouli
Suhas Diggavi
MQ
157
14
0
01 Nov 2019
Minimax Bounds for Distributed Logistic Regression
Minimax Bounds for Distributed Logistic Regression
Florent Chiaroni
N. Hueber
FedML
45
5
0
03 Oct 2019
Communication and Memory Efficient Testing of Discrete Distributions
Communication and Memory Efficient Testing of Discrete DistributionsAnnual Conference Computational Learning Theory (COLT), 2019
Ilias Diakonikolas
Themis Gouleakis
D. Kane
Sankeerth Rao
120
27
0
11 Jun 2019
Communication Complexity in Locally Private Distribution Estimation and
  Heavy Hitters
Communication Complexity in Locally Private Distribution Estimation and Heavy HittersInternational Conference on Machine Learning (ICML), 2019
Jayadev Acharya
Ziteng Sun
189
62
0
28 May 2019
Optimal Communication Rates and Combinatorial Properties for Common
  Randomness Generation
Optimal Communication Rates and Combinatorial Properties for Common Randomness Generation
Yanjun Han
Kedar Tatwawadi
Gowtham R. Kurri
Zhengqing Zhou
V. Prabhakaran
Tsachy Weissman
228
1
0
05 Apr 2019
Distributed Learning with Sublinear Communication
Distributed Learning with Sublinear CommunicationInternational Conference on Machine Learning (ICML), 2019
Jayadev Acharya
Christopher De Sa
Dylan J. Foster
Karthik Sridharan
FedML
159
40
0
28 Feb 2019
Test without Trust: Optimal Locally Private Distribution Testing
Test without Trust: Optimal Locally Private Distribution Testing
Jayadev Acharya
C. Canonne
Cody R. Freitag
Himanshu Tyagi
162
61
0
07 Aug 2018
Geometric Lower Bounds for Distributed Parameter Estimation under
  Communication Constraints
Geometric Lower Bounds for Distributed Parameter Estimation under Communication Constraints
Yanjun Han
Ayfer Özgür
Tsachy Weissman
289
95
0
23 Feb 2018
Hadamard Response: Estimating Distributions Privately, Efficiently, and
  with Little Communication
Hadamard Response: Estimating Distributions Privately, Efficiently, and with Little Communication
Jayadev Acharya
Ziteng Sun
Huanyu Zhang
199
159
0
13 Feb 2018
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