Research Article
Privacy Shield: A System for Edge Computing using Asynchronous Federated Learning
Table 3
Performance of the proposed system and LAG for different values of Ω.
| Compression algorithm Ω | Privacy shield | LAG | 0.2 | 0.22 |
| Accr (training set) | 93.68% | 94.23% | 89.9% | Accr (test set) | 91.98% | 92.35% | 89.13% | C-ratio | 6.33% | 8.77% | 5.11% | CBI (c1 = 0.8, c2 = 0.12) | 0.9333 | 0.9206 | 0.9274 | CBI (c1 = 0.10, c2 = 0.10) | 0.9325 | 0.9226 | 0.922 | CBI (c1 = 0.12, c2 = 0.8) | 0.9316 | 0.9247 | 0.9167 |
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