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Fairness-Based Multi-AP Coordination Using Federated Learning in Wi-Fi 7

Federated learning is a type of distributed machine learning in which models learn by using large-scale decentralized data between servers and devices. In a short-range wireless communication environment, it can be difficult to apply federated learning because the number of devices in one access poi...

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Detalles Bibliográficos
Autores principales: Woo, Gimoon, Kim, Hyungbin, Park, Seunghyun, You, Cheolwoo, Park, Hyunhee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9783727/
https://www.ncbi.nlm.nih.gov/pubmed/36560143
http://dx.doi.org/10.3390/s22249776