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Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.48550/arxiv.2203.02743
Abstract: In this article, a distributed stochastic gradient (SG) algorithm is proposed where the estimators are aimed to collectively estimate an unknown time-invariant parameter from a set of noisy measurements obtained by distributed sensors. The proposed…
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Keywords:
distributed algorithm;
excitation condition;
convergence distributed;
convergence ... See more keywords