Table 4.

Training progress by federated learning rounds.

Round	Global model loss	Global model accuracy	Training status
1	0.5172	0.8618	Initial training
2	1.7244	0.5346	Temporary degradation
3	0.2145	0.9332	Significant improvement
4	0.1987	0.9401	Continued improvement
5	0.1823	0.9445	Steady progress
6	0.1756	0.9467	Gradual convergence
7	0.1698	0.9481	Approaching optimum
8	0.1642	0.9488	Fine-tuning
9	0.1591	0.9491	Near convergence
10	0.2517	0.9493	Final convergence