A Note on the Convergence of Distributed RLS
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DOI: 10.1109/tac.2022.3194882
Abstract: This note focuses on the convergence problem of a distributed recursive least squares (RLS) estimator, which converges fast in many circumstances. We find that the convergence behavior of this distributed RLS is quite different for… read more here.
Keywords: note convergence; convergence; convergence distributed; distributed rls ... See more keywords
Convergence of the Distributed SG Algorithm Under Cooperative Excitation Condition
Sign Up to like & getrecommendations! 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… read more here.
Keywords: distributed algorithm; excitation condition; convergence distributed; convergence ... See more keywords