IEEE - Institute of Electrical and Electronics Engineers, Inc. - Structure Learning of Sparse GGMs over Multiple Access Networks

Author(s): Mostafa Tavassolipour ; Armin Karamzade ; Reza Mirzaeifard ; Seyed Abolfazl Motahari ; Mohammad-Taghi Manzuri Shalmani
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Volume: PP
Page(s): 1
ISSN (Electronic): 1558-0857
ISSN (Paper): 0090-6778
DOI: 10.1109/TCOMM.2019.2957080
Regular:

A central machine is interested in estimating the underlying structure of a sparse Gaussian Graphical Model (GGM) from a dataset distributed across multiple local machines. The local machines can... View More

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