Table 8.
Comparative results analysis on Weibo
| Frameworks | Technique used | Accuracy (%) | Precision (%) | Recall (%) | F1 score (%) |
|---|---|---|---|---|---|
| Centralized framework | CNN + rand | 86.11 | 91.67 | 80.88 | 85.94 |
| CNN + static | 83.33 | 90.01 | 83.33 | 86.96 | |
| CNN + nostatic | 87.50 | 87.50 | 100 | 93.33 | |
| Distributed framework | FedAvg + rand | 83.33 | 89.47 | 85.00 | 87.18 |
| FedAvg + static | 73.33 | 81.82 | 81.82 | 81.82 | |
| FedAvg + nostatic | 86.67 | 100 | 81.82 | 90.00 | |
| CAFed + rand | 67.92 | 86.90 | 85.25 | 73.20 | |
| CAFed + static | 80.00 | 80.00 | 89.75 | 84.59 | |
| CAFed + nostatic | 86.67 | 90.00 | 81.82 | 85.26 |