Descripción
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In this work we review some earlier distributed algorithms developed by the authors and collaborators, which are based on two different approaches, namely, distributed moment estimation and distributed stochastic approximations. We show applications of these algorithms on image compression, linear classification and stochastic optimal control. In all cases, the benefit of cooperation is clear: even when the nodes have access to small portions of the data, by exchanging their estimates, they achieve the same performance as that of a centralized architecture, which would gather all the data from all the nodes. | |
Internacional
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No |
Nombre congreso
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XXIX Simposium Nacional de la Unión Científica Internacional de Radio, URSI 2014 |
Tipo de participación
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960 |
Lugar del congreso
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Valencia |
Revisores
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Si |
ISBN o ISSN
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978-84-9048-264-3 |
DOI
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Fecha inicio congreso
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03/09/2014 |
Fecha fin congreso
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05/09/2014 |
Desde la página
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1 |
Hasta la página
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4 |
Título de las actas
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URSI VALENCIA 2014. XXIX SIMPOSIUM NACIONAL DE LA UNIÓN CIENTÍFICA INTERNACIONAL DE RADIO |