Coordinate-Descent Adaptation over Hamiltonian Multi-Agent Networks

The incremental least-mean-square (ILMS) algorithm is a useful method to perform distributed adaptation and learning in Hamiltonian networks. To implement the ILMS algorithm, each node needs to receive the local estimate of the previous node on the cycle path to update its own local estimate. Howeve...

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Bibliographic Details
Main Authors: Azam Khalili, Vahid Vahidpour, Amir Rastegarnia, Ali Farzamnia, Teo, Kenneth Tze Kin, Saeid Sanei
Format: Article
Language:English
English
Published: MDPI 2021
Subjects:
Online Access:https://eprints.ums.edu.my/id/eprint/32939/1/Coordinate-Descent%20Adaptation%20over%20Hamiltonian%20Multi-Agent%20Networks.pdf
https://eprints.ums.edu.my/id/eprint/32939/2/Coordinate-Descent%20Adaptation%20over%20Hamiltonian%20Multi-Agent%20Networks1.pdf
https://eprints.ums.edu.my/id/eprint/32939/
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8621694/pdf/sensors-21-07732.pdf
https://doi.org/10.3390/s21227732
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