Research Article
Genetic CFL: Hyperparameter Optimization in Clustered Federated Learning
Table 4
Performance of FL against genetic CFL on CIFAR-10 dataset for various hyperparameters.
| Client ratio | Rounds | FL | Genetic CFL | Accuracy | Loss | Accuracy | Loss |
| 0.10 | 3 | 0.6818 | 0.9540 | 0.6514 | 1.0097 | 6 | 0.6891 | 1.3746 | 0.6639 | 1.3447 | 10 | 0.6862 | 1.6617 | 0.6599 | 1.6449 |
| 0.15 | 3 | 0.6973 | 0.9612 | 0.7098 | 0.8814 | 6 | 0.6988 | 1.3675 | 0.7199 | 1.693 | 10 | 0.6952 | 1.6225 | 0.7129 | 1.3806 |
| 0.30 | 3 | 0.7578 | 0.8708 | 0.7688 | 0.7818 | 6 | 0.7634 | 1.0891 | 0.7646 | 0.981 | 10 | 0.7613 | 1.2964 | 0.7623 | 1.2961 |
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