Multitask Diffusion Adaptation Over Asynchronous Networks

The multitask diffusion LMS is an efficient strategy to simultaneously infer, in a collaborative manner, multiple parameter vectors. Existing works on multitask problems assume that all agents respond to data synchronously. In several applications, agents may not be able to act synchronously because...

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Vydáno v:	IEEE transactions on signal processing Ročník 64; číslo 11; s. 2835 - 2850
Hlavní autoři:	Nassif, Roula, Richard, Cedric, Ferrari, Andre, Sayed, Ali H.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.06.2016 The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Institute of Electrical and Electronics Engineers
Témata:	Astrophysics asynchronous networks Context Correlation diffusion adaptation Distributed optimization Engineering Sciences Estimation Instrumentation and Methods for Astrophysic Machine Learning Mean square error methods mean-square performance analysis multitask learning Network topology Optimization Sciences of the Universe Signal and Image processing Statistics Topology
ISSN:	1053-587X, 1941-0476
On-line přístup:	Získat plný text
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