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15 - General Engineering

University of Edinburgh (joint submission with Heriot-Watt University)

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Output 32 of 305 in the submission

Article title

An Adaptive Projected Subgradient Approach to Learning in Diffusion Networks

Type

D - Journal article

DOI

10.1109/TSP.2009.2018648

Title of journal

IEEE Transactions on Signal Processing

Article number

Volume number

Issue number

First page of article

2762

ISSN of journal

1053-587X

Year of publication

2009

URL

http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4803752

Number of additional authors

Additional information

This paper resulted from an international collaboration with Yamada in Tokyo. It addressed distributed learning in distributed sensor networks and introduced a general framework that can cope with changing network topologies and cost functions, and was included in a recent review (DoI:10.1109/MSP.2010.938752). A companion conference paper (DoI:10.1109/ICASSP.2009.4960218) highlighted the application to acoustic source location, an EPSRC/DSTL follow-on project (EP/H012591/1, £95k) was secured and a subsequent paper (DoI:10.1109/TSP.2009.2032450) resulted. This work is one of the major continuing themes in recently funded Platform (EP/J015180/1, £1.05M) and DSTL Defence Centre (EP/K014277/1, £3.8M) awards.

Interdisciplinary

Cross-referral requested

Research group

B - Sensors, Signals & Systems

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract