FedADT: An Adaptive Method Based on Derivative Term for Federated Learning

Federated learning is served as a novel distributed training framework that enables multiple clients of the internet of things to collaboratively train a global model while the data remains local. However, the implement of federated learning faces many problems in practice, such as the large number...

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Detalles Bibliográficos
Autores principales: Gao, Huimin, Wu, Qingtao, Zhao, Xuhui, Zhu, Junlong, Zhang, Mingchuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10347066/
https://www.ncbi.nlm.nih.gov/pubmed/37447882
http://dx.doi.org/10.3390/s23136034

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10347066/
https://www.ncbi.nlm.nih.gov/pubmed/37447882
http://dx.doi.org/10.3390/s23136034

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