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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Detalles Bibliográficos
Autores principales: Khalili, Azam, Vahidpour, Vahid, Rastegarnia, Amir, Farzamnia, Ali, Teo Tze Kin, Kenneth, Sanei, Saeid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8621694/
https://www.ncbi.nlm.nih.gov/pubmed/34833807
http://dx.doi.org/10.3390/s21227732

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8621694/
https://www.ncbi.nlm.nih.gov/pubmed/34833807
http://dx.doi.org/10.3390/s21227732

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