Figure 6.
The line chart titled Federated Transfer Learning Accuracy Over Rounds. The X-axis is labelled Rounds and shows values from 1 to 20. The Y-axis is labelled Accuracy and ranges from about 0.70 to just above 0.90. The plotted line labelled F T L Accuracy starts at approximately 0.70 at round 1, rises steadily to around 0.78 by round 4, dips slightly at round 5, and then continues an overall upward trend. Accuracy reaches about 0.84 at round 8, increases to around 0.88 by round 12, and fluctuates slightly while remaining high. By round 20, accuracy reaches just above 0.90, indicating progressive improvement across training rounds.Threat detection accuracy for the global server node