Table 13 Comparison between proposed models accuracy and loss obtained using COVID-19 data sets.
From: Leveraging federated learning and edge computing for pandemic-resilient healthcare
Criteria | Sequential model (ADAM) | Sequential model (SGD) | Federated model (SGD) |
|---|---|---|---|
Optimizer | ADAM | SGD | SGD |
Loss Function | Binary | Binary | Sparse Categorial |
Accuracy Function | Accuracy | Accuracy | Sparse Categorial Accuracy |
Model Loss | 30.12% | 31.2% | 26.1% |
Model accuracy | 90.2% | 90.2% | 95.21% |
Training Time | 11 secs | 12 secs | 60 secs |
Learning Rate | 0.004 | 0.004 | 0.0001 |
