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ADAPTIVE DISTRIBUTED METHODS UNDER COMMUNICATION CONSTRAINTS
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DOI：10.1214/19-AOS1890.png)
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Abstract
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We study estimation methods under communication constraints in a distributed version of the nonparametric random design regression model. We derive minimax lower bounds and exhibit methods that attain those bounds. Moreover, we show that adaptive estimation is possible in this setting.
Keywords:
Distributed computation
minimax rates
adaptation
nonparametric regression
communication constraints
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3.7
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2.8K
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2.9W
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