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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

Journal of machine learning research (JMLR), 2020
24 January 2020
T. Tony Cai
Hongjie Wei
ArXiv (abs)PDFHTML

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

15 / 15 papers shown
Sequential 1-bit Mean Estimation with Near-Optimal Sample Complexity
Sequential 1-bit Mean Estimation with Near-Optimal Sample Complexity
Ivan Lau
Jonathan Scarlett
155
3
0
26 Sep 2025
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 RegimeNeural Information Processing Systems (NeurIPS), 2024
Lasse Vuursteen
255
1
0
02 Nov 2024
Data-light Uncertainty Set Merging with Admissibility
Data-light Uncertainty Set Merging with Admissibility
Shenghao Qin
Jianliang He
Bowen Gang
Bowen Gang
Yin Xia
482
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
352
9
0
10 Jun 2024
Continual Mean Estimation Under User-Level Privacy
Continual Mean Estimation Under User-Level PrivacyIEEE Journal on Selected Areas in Information Theory (JSAIT), 2022
Anand George
Lekshmi Ramesh
A. V. Singh
Himanshu Tyagi
FedML
196
12
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
186
0
0
30 May 2022
Distributed Nonparametric Estimation under Communication Constraints
Distributed Nonparametric Estimation under Communication Constraints
Azeem Zaman
Botond Szabó
226
5
0
21 Apr 2022
Correlated quantization for distributed mean estimation and optimization
Correlated quantization for distributed mean estimation and optimizationInternational Conference on Machine Learning (ICML), 2022
A. Suresh
Ziteng Sun
Jae Hun Ro
Felix X. Yu
367
18
0
09 Mar 2022
Optimal high-dimensional and nonparametric distributed testing under
  communication constraints
Optimal high-dimensional and nonparametric distributed testing under communication constraintsAnnals of Statistics (Ann. Stat.), 2022
Botond Szabó
Lasse Vuursteen
Harry Van Zanten
457
12
0
02 Feb 2022
A Few Interactions Improve Distributed Nonparametric Estimation,
  Optimally
A Few Interactions Improve Distributed Nonparametric Estimation, OptimallyIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2021
Jingbo Liu
504
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 AdaptationAnnals of Statistics (Ann. Stat.), 2021
AI T.TONYC
EI Hongjiw
149
12
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
289
4
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 communicationIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2020
Botond Szabó
Lasse Vuursteen
Harry Van Zanten
298
7
0
09 Dec 2020
Distributed function estimation: adaptation using minimal communication
Distributed function estimation: adaptation using minimal communicationMathematical Statistics and Learning (MSL), 2020
Botond Szabó
Harry Van Zanten
371
16
0
28 Mar 2020
Mean Estimation from One-Bit Measurements
Mean Estimation from One-Bit Measurements
A. Kipnis
John C. Duchi
MQ
418
12
0
10 Jan 2019
1
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