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. 2024 Mar 19;14:6560. doi: 10.1038/s41598-024-56115-0

Table 2.

Performance of Random Forest Federated Learning with different levels of model aggregation.

Models HIV prediction STI prediction
Global model capacity AUC Accuracy Global model capacity AUC Accuracy
Local model 0.89 0.82 0.96 0.92
FL with 100% aggregated 4.36 MB 0.91 0.84 2.28 MB 0.98 0.94
FL with 70% aggregated 3.25 MB 0.91 0.83 1.67 MB 0.98 0.93
FL with 50% aggregated 1.75 MB 0.90 0.84 1.09 MB 0.97 0.93
FL with 30% aggregated 1.42 MB 0.90 0.83 840 KB 0.97 0.93
FL with 20% aggregated 769 KB 0.90 0.83 508 KB 0.97 0.93
FL with 10% aggregated 348 KB 0.89 0.82 345 KB 0.96 0.92
FLCNN 964 MB 0.87 0.78 964 MB 0.74 0.70
Xu et al.7 NA 0.72 NA NA 0.67–0.75 NA