Search Results - "Rabbat, M.G."

Distributed Average Consensus With Dithered Quantization by Aysal, T.C., Coates, M.J., Rabbat, M.G.

“…In this paper, we develop algorithms for distributed computation of averages of the node data over networks with bandwidth/power constraints or large volumes…”
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Quantized incremental algorithms for distributed optimization by Rabbat, M.G., Nowak, R.D.

“…Wireless sensor networks are capable of collecting an enormous amount of data. Often, the ultimate objective is to estimate a parameter or function from these…”
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Multiple-Source Internet Tomography by Rabbat, M.G., Coates, M.J., Nowak, R.D.

“…Information about the topology and link-level characteristics of a network is critical for many applications including network diagnostics and management…”
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Network Inference From Co-Occurrences by Rabbat, M.G., Figueiredo, M.A.T., Nowak, R.D.

“…The discovery of networks is a fundamental problem arising in numerous fields of science and technology, including communication systems, biology, sociology,…”
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Genomic Network Tomography by Rabbat, M.G., Figueiredo, M.A.T., Nowak, R.D.

“…This paper considers the problem of learning cellular signaling networks from incomplete measurements of pathway activity. Cells respond to environmental…”
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Decentralized source localization and tracking [wireless sensor networks] by Rabbat, M.G., Nowak, R.D.

“…This paper describes a new approach to the source localization and tracking problem in wireless sensor networks. A fast, easy-to-implement algorithm for…”
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Understanding the topology of a telephone network via internally-sensed network tomography by Rabbat, M.G., Treichler, J.R., Wood, S.L., Larimore, M.G.

“…The ability to determine the topology of worldwide telephone networks offers the promise of substantially improving their operating efficiency. This paper…”
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Generalized consensus computation in networked systems with erasure links by Rabbat, M.G., Nowak, R.D., Bucklew, J.A.

“…We study consensus problems in networked systems with unreliable links. Our contributions are two-fold. First, we derive a family of decentralized consensus…”
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Optimization and analysis of distributed averaging with memory by Oreshkin, B.N., Coates, M.J., Rabbat, M.G.

“…This paper analyzes the rate of convergence of a distributed averaging scheme making use of memory at each node. In conventional distributed averaging, each…”
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