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DISTRIBUTED SPLITTING-OVER-FEATURES SPARSE BAYESIAN LEARNING WITH ALTERNATING DIRECTION METHOD OF MULTIPLIERS

Manss, Christoph and Shutin, Dmitriy and Leus, Geert (2017) DISTRIBUTED SPLITTING-OVER-FEATURES SPARSE BAYESIAN LEARNING WITH ALTERNATING DIRECTION METHOD OF MULTIPLIERS. In: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. ICASSP 2018, 15.-20.4.2018, Calgary, Kanada.

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Abstract

In processing spatially distributed data, multi-agent robotic platforms equipped with sensors and computing capabilities are gaining interest for applications in inhospitable environments. In this work an algorithm for a distributed realization of sparse bayesian learning (SBL) is discussed for learning a static spatial process with the splitting-over-features approach over a network of interconnected agents. The observed process is modeled as a superposition of weighted kernel functions, or features as we call it, centered at the agent’s measurement locations. SBL is then used to determine which feature is relevant for representing the spatial process. Using upper bounding convex functions, the SBL parameter estimation is formulated as ℓ1-norm constrained optimization, which is solved distributively using alternating direction method of multipliers (ADMM) and averaged consensus. The performance of the method is demonstrated by processing real magnetic field data collected in a laboratory.

Item URL in elib:https://elib.dlr.de/118885/
Document Type:Conference or Workshop Item (Lecture)
Title:DISTRIBUTED SPLITTING-OVER-FEATURES SPARSE BAYESIAN LEARNING WITH ALTERNATING DIRECTION METHOD OF MULTIPLIERS
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Manss, Christophchistoph.manss (at) dlr.deUNSPECIFIED
Shutin, Dmitriydmitriy.shutin (at) dlr.deUNSPECIFIED
Leus, GeertG.J.T.Leus (at) tudelft.nlUNSPECIFIED
Date:27 November 2017
Journal or Publication Title:ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
Status:Published
Keywords:Sparse Bayesian learning, ADMM, multi-agent systems, learning over networks
Event Title:ICASSP 2018
Event Location:Calgary, Kanada
Event Type:international Conference
Event Dates:15.-20.4.2018
Organizer:IEEE
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Communication and Navigation
DLR - Research area:Raumfahrt
DLR - Program:R KN - Kommunikation und Navigation
DLR - Research theme (Project):R - Project Navigation 4.0 (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Communication and Navigation > Communications Systems
Deposited By: Manß, Christoph
Deposited On:09 Feb 2018 09:39
Last Modified:28 Jul 2020 11:13

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