An EMD-Based Adaptive Client Selection Algorithm for Federated Learning in Heterogeneous Data Scenarios

Federated learning is a distributed machine learning framework that enables distributed nodes with computation and storage capabilities to train a global model while keeping distributed-stored data locally. This process can promote the efficiency of modeling while preserving data privacy. Therefore,...

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Detalles Bibliográficos
Autores principales: Chen, Aiguo, Fu, Yang, Sha, Zexin, Lu, Guoming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Plant Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9218865/
https://www.ncbi.nlm.nih.gov/pubmed/35755701
http://dx.doi.org/10.3389/fpls.2022.908814

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9218865/
https://www.ncbi.nlm.nih.gov/pubmed/35755701
http://dx.doi.org/10.3389/fpls.2022.908814

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