Research Article
Intelligent Intrusion Detection Based on Federated Learning for Edge-Assisted Internet of Things
Table 3
Comparison of overall classification accuracy between the CL model and the FL model.
| Method (B = 128, E = 1, K = 10, C = 1, η = 1e − 2) | Accuracy (%) (R = 10) | Accuracy (%) (R = 20) | Accuracy (%) (R = 40) |
| CL-CNN | 98.97 | 99.40 | 99.65 | FedAVG (CNN) | 98.13 | 98.58 | 98.90 | FedACNN (proposed) | 98.73 | 99.02 | 99.12 |
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