Wireless Network Optimization for Federated Learning with Model Compression in Hybrid VLC/RF Systems †

In this paper, the optimization of network performance to support the deployment of federated learning (FL) is investigated. In particular, in the considered model, each user owns a machine learning (ML) model by training through its own dataset, and then transmits its ML parameters to a base statio...

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Detalles Bibliográficos
Autores principales: Huang, Wuwei, Yang, Yang, Chen, Mingzhe, Liu, Chuanhong, Feng, Chunyan, Poor, H. Vincent
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8622686/
https://www.ncbi.nlm.nih.gov/pubmed/34828111
http://dx.doi.org/10.3390/e23111413

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8622686/
https://www.ncbi.nlm.nih.gov/pubmed/34828111
http://dx.doi.org/10.3390/e23111413

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