Table 1 Simulation hyperparameters.
From: Hybrid quantum enhanced federated learning for cyber attack detection
S.No | Description | Value/Range |
|---|---|---|
1 | Number of nodes (K) | 50 |
2 | Number of regions (M) | 5 |
3 | Learning rate (η) | 0.01 |
4 | Number of iterations (T) | 100 |
5 | Privacy budget (ε) | 1.0 |
6 | Noise scale (σ) | 0.1 |
7 | Weighting factor (α) | 0.5 |
8 | Perturbation interval | 10 |
9 | Perturbation magnitude (δ) | 0.01 |
10 | Number of eigenvectors | 5 |
11 | K-means clustering max Iterations | 300 |
12 | Convergence threshold | 1e-5 |
13 | Initial model range | [-0.1, 0.1] |
14 | Quantum-inspired coefficient (λ) | 0.1 |
15 | Batch size | 32 |
16 | Communication bandwidth | 10 Mbps |
17 | Latency | 100Â ms |
