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. 2022 Jun 23;9(1):115–131. doi: 10.1007/s40747-022-00729-2

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