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We study distributed estimation of a Gaussian mean under communication constraints in a decision theoretical framework.
Mean estimation from one-bit measurements
Kipnis, A. and Duchi, J. C. (2019) · 1901
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Minimax estimation of the mean of a normal distribution when the parameter space is restricted
Bickel, P. et al. (1981) · 1981
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Estimation via compressed information
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A survey of combinatorial gray codes
Savage, C. (1997) · 1997
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Universal decentralized estimation in a bandwidth constrained sensor network
Luo, Z.-Q. (2005) · 2005
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Information-theoretic lower bounds for distributed statistical estimation with communication constraints
Zhang, Y., Duchi, J., Jordan, M. I., and Wainwright, M. J. (2013) · 2013
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On communication cost of distributed statistical estimation and dimensionality
Garg, A., Ma, T., and Nguyen, H. (2014) · 2014
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Braverman, M., Garg, A., Ma, T., Nguyen, H. L., and Woodruff, D. P. (2016) · 2016
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Communication-efficient distributed statistical inference
Jordan, M. I., Lee, J. D., and Yang, Y. (2018) · 2018
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Distributed nonparametric regression under communication constraints
Zhu, Y. and Lafferty, J. (2018) · 2018
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Supplement to “Distributed Gaussian mean estimation under communication constraints: Optimal rates and communication-efficient algorithms”
Cai, T. T. and Wei, H. (2019) · 2019
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Distributed estimation of principal eigenspaces
Fan, J., Wang, D., Wang, K., Zhu, Z., et al. (2019) · 2019
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Distributed estimation of gaussian correlations
Hadar, U. and Shayevitz, O. (2019) · 2019
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An asymptotic analysis of distributed nonparametric methods
Szabó, B. and van Zanten, H. (2019) · 2019
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Han, Y., Özgür, A., and Weissman, T. (2018) · 2018
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