… an adaptive distributed technique that is suitable for node-specific parameter estimation in
an adaptive network … in a set of parameters of local interest as well as a set of network global …

… To solve the considered problem over an adaptive network, in Section III we derive an
incrementalbased LMS strategy and provide the conditions under which it converges in the mean …

… an adaptive distributed technique that attains the exact (Recursive Least Squares) RLS
solution of a node-specific parameter estimation … incremental-based LMS that converges to the …

… We solved it by employing incremental-based strategies for Least Mean Squares (LMS)
and Recursive Least Squares (RLS) algorithms. Motivated by the well-known robustness and …

… A distributed adaptive algorithm is proposed to solve a node-specific parameter estimation
… In the most recent work [28], an incremental-based implementation of the Least Mean …

… overlapping, sets of parameters. In this work, node-specific distributed detection, which
has … Building upon parameter estimation is detection, investigated in both the consensus [16]–[20…

… We study a distributed node-specific parameter estimation problem where each node in a …
sensor network is interested in the simultaneous estimation of different vectors of parameters …

… an adaptive distributed algorithm to solve a nodespecific … solve different but related parameter
estimation problems. In [9] the … between the node-specific parameter estimation (NSPE) …

… the problem of node-specific parameter estimation(NSPE) over distributed multi-agent networks,
… When the classic diffusion least mean square(LMS) algorithm is used in this situation, it …

… for incremental adaptive networks, in which unknown parameter vector is estimated in a
distributed and … Berberidis, “Distributed incremental-based lms for node-specific adaptive …