Cross-Domain Federated Data Modeling on Non-IID Data

Federated learning has received sustained attention in recent years for its distributed training model that fully satisfies the need for privacy concerns. However, under the nonindependent identical distribution, the data heterogeneity of different parties with different data patterns significantly...

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Detalles Bibliográficos
Autores principales: Chai, Baobao, Liu, Kun, Yang, Ruiping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9481315/
https://www.ncbi.nlm.nih.gov/pubmed/36120693
http://dx.doi.org/10.1155/2022/9739874

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9481315/
https://www.ncbi.nlm.nih.gov/pubmed/36120693
http://dx.doi.org/10.1155/2022/9739874

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