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Fig. 3 | BMC Medical Informatics and Decision Making

Fig. 3

From: Federated learning algorithms for generalized mixed-effects model (GLMM) on horizontally partitioned data from distributed sources

Fig. 3

The comparison of performances between centralized GLM and federated GH models. (Left) The centralized GLM with Logistic Regression; (Right) The federated GLMM with 2-degree GH approximation. All methods are applied to all 8 settings of synthetic data that pooled together. Method “centralized GLM”is done with R packages “lm” in a centralized settings

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