Print Email Facebook Twitter Distributed Splitting-Over-Features Sparse Bayesian Learning with Alternating Direction Method of Multipliers Title Distributed Splitting-Over-Features Sparse Bayesian Learning with Alternating Direction Method of Multipliers Author Manss, C. (Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR)) Shutin, Dmitriy (Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR)) Leus, G.J.T. (TU Delft Signal Processing Systems) Date 2018 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. Subject ADMMLearning over networksMulti-agent systemsSparse Bayesian learning To reference this document use: http://resolver.tudelft.nl/uuid:28f14cce-34af-4b6a-8e88-823c3763d046 DOI https://doi.org/10.1109/ICASSP.2018.8462229 Publisher IEEE, Piscataway, NJ Embargo date 2019-03-13 ISBN 978-1-5386-4659-5 Source 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings Event 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018, 2018-04-15 → 2018-04-20, Calgary Telus Convention Center (CTCC), Calgary, Canada Bibliographical note Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. Part of collection Institutional Repository Document type conference paper Rights © 2018 C. Manss, Dmitriy Shutin, G.J.T. Leus Files PDF Distributed_Splitting_Ove ... pliers.pdf 748.84 KB Close viewer /islandora/object/uuid:28f14cce-34af-4b6a-8e88-823c3763d046/datastream/OBJ/view