Mobility-Aware Federated Learning Considering Multiple Networks

Federated learning (FL) is a distributed training method for machine learning models (ML) that maintain data ownership on users. However, this distributed training approach can lead to variations in efficiency due to user behaviors or characteristics. For instance, mobility can hinder training by ca...

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Detalles Bibliográficos
Autores principales: Macedo, Daniel, Santos, Danilo, Perkusich, Angelo, Valadares, Dalton C. G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10386473/
https://www.ncbi.nlm.nih.gov/pubmed/37514581
http://dx.doi.org/10.3390/s23146286

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10386473/
https://www.ncbi.nlm.nih.gov/pubmed/37514581
http://dx.doi.org/10.3390/s23146286

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