Federated learning algorithms for generalized mixed-effects model (GLMM) on horizontally partitioned data from distributed sources.
Objectives: This paper developed federated solutions based on two approximation algorithms to achieve federated generalized linear mixed effect models (GLMM). The paper also proposed a solution for numerical errors and singularity issues. And showed the two proposed methods can perform well in revea...
| Publicado en: | BMC Medical Informatics & Decision Making Vol. 22; no. 1; pp. 1 - 13 |
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| Autores principales: | , , , , , |
| Formato: | research Journal Article |
| Publicado: |
BioMed Central
10/16/2022
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| Acceso en línea: | Ver este registro en EBSCOhost |