Learning of Tree-Structured Gaussian Graphical Models on Distributed Data Under Communication Constraints
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DOI: 10.1109/tsp.2018.2876325
Abstract: In this paper, learning of tree-structured Gaussian graphical models from distributed data is addressed. In our model, samples are stored in a set of distributed machines where each machine has access to only a subset… read more here.
Keywords: graphical models; communication; learning tree; structured gaussian ... See more keywords