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Distributed Gaussian Mean Estimation under Communication Constraints:
  Optimal Rates and Communication-Efficient Algorithms

Distributed Gaussian Mean Estimation under Communication Constraints: Optimal Rates and Communication-Efficient Algorithms

24 January 2020
T. Tony Cai
Hongjie Wei
ArXivPDFHTML

Papers citing "Distributed Gaussian Mean Estimation under Communication Constraints: Optimal Rates and Communication-Efficient Algorithms"

14 / 14 papers shown
Title
Optimal Private and Communication Constraint Distributed Goodness-of-Fit
  Testing for Discrete Distributions in the Large Sample Regime
Optimal Private and Communication Constraint Distributed Goodness-of-Fit Testing for Discrete Distributions in the Large Sample Regime
Lasse Vuursteen
38
0
0
02 Nov 2024
SAT: Data-light Uncertainty Set Merging via Synthetics, Aggregation, and
  Test Inversion
SAT: Data-light Uncertainty Set Merging via Synthetics, Aggregation, and Test Inversion
Shenghao Qin
Jianliang He
Bowen Gang
Yin Xia
35
0
0
16 Oct 2024
Optimal Federated Learning for Nonparametric Regression with
  Heterogeneous Distributed Differential Privacy Constraints
Optimal Federated Learning for Nonparametric Regression with Heterogeneous Distributed Differential Privacy Constraints
T. T. Cai
Abhinav Chakraborty
Lasse Vuursteen
FedML
41
3
0
10 Jun 2024
Continual Mean Estimation Under User-Level Privacy
Continual Mean Estimation Under User-Level Privacy
Anand George
Lekshmi Ramesh
A. V. Singh
Himanshu Tyagi
FedML
36
8
0
20 Dec 2022
Stock Trading Optimization through Model-based Reinforcement Learning
  with Resistance Support Relative Strength
Stock Trading Optimization through Model-based Reinforcement Learning with Resistance Support Relative Strength
Huifang Huang
Ting Gao
Yi Gui
Jinqiu Guo
Peng Zhang
20
0
0
30 May 2022
Distributed Nonparametric Estimation under Communication Constraints
Distributed Nonparametric Estimation under Communication Constraints
Azeem Zaman
Botond Szabó
30
3
0
21 Apr 2022
Correlated quantization for distributed mean estimation and optimization
Correlated quantization for distributed mean estimation and optimization
A. Suresh
Ziteng Sun
Jae Hun Ro
Felix X. Yu
23
12
0
09 Mar 2022
Optimal high-dimensional and nonparametric distributed testing under
  communication constraints
Optimal high-dimensional and nonparametric distributed testing under communication constraints
Botond Szabó
Lasse Vuursteen
Harry Van Zanten
31
10
0
02 Feb 2022
A Few Interactions Improve Distributed Nonparametric Estimation,
  Optimally
A Few Interactions Improve Distributed Nonparametric Estimation, Optimally
Jingbo Liu
31
3
0
01 Jul 2021
Distributed Nonparametric Function Estimation: Optimal Rate of
  Convergence and Cost of Adaptation
Distributed Nonparametric Function Estimation: Optimal Rate of Convergence and Cost of Adaptation
AI T.TONYC
EI Hongjiw
16
7
0
01 Jul 2021
Distributed Sparse Normal Means Estimation with Sublinear Communication
Distributed Sparse Normal Means Estimation with Sublinear Communication
Chen Amiraz
Robert Krauthgamer
B. Nadler
FedML
13
2
0
05 Feb 2021
Optimal distributed composite testing in high-dimensional Gaussian
  models with 1-bit communication
Optimal distributed composite testing in high-dimensional Gaussian models with 1-bit communication
Botond Szabó
Lasse Vuursteen
Harry Van Zanten
30
6
0
09 Dec 2020
Distributed function estimation: adaptation using minimal communication
Distributed function estimation: adaptation using minimal communication
Botond Szabó
Harry Van Zanten
32
13
0
28 Mar 2020
Mean Estimation from One-Bit Measurements
Mean Estimation from One-Bit Measurements
A. Kipnis
John C. Duchi
MQ
25
6
0
10 Jan 2019
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