An ADMM-based approach for multi-class recursive parameter estimation
Author:
Affiliation:
1. Politecnico di Milano,Dipartimento di Elettronica, Informatica e Bioingegneria (DEIB),Milano,Italy
2. IMT School for Advanced Studies Lucca,Lucca,Italy
3. University of Michigan,Department of Aerospace Engineering,Ann Arbor,MI,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9682670/9682776/09683108.pdf?arnumber=9683108
Reference15 articles.
1. Stochastic incremental gradient descent for estimation in sensor networks;ram;2007 Conference Record of the Forty-First Asilomar Conference on Signals Systems and Computers,2007
2. $\mathcal {CIRFE}$: A Distributed Random Fields Estimator
3. Distributed LMS for Consensus-Based In-Network Adaptive Processing
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