Research Article
Research on Open Innovation Intelligent Decision-Making of Cross-Border E-Commerce Based on Federated Learning
Table 4
Federated training results.
| | Training rounds | Training time | Training loss | Training accuracy |
| | Epoch 1/500 | (Guest, host) [ = = = = = = = = = = = ] | -0s 326us/step | - Loss: 0.7427 | - Accuracy: 0.5327 | | Epoch 2/500 | (Guest, host) [ = = = = = = = = = = = ] | - 0s 54us/step | - Loss: 0.6838 | - Accuracy: 0.5672 | | Epoch 3/500 | (Guest, host) [ = = = = = = = = = = = ] | - 0s 67us/step | - Loss: 0.6878 | - Accuracy: 0.5726 | | …… | | Epoch 498/500 | (Guest, host) [ = = = = = = = = = = = ] | - 0s 54us/step | - Loss: 0.0728 | - Accuracy: 0.9791 | | Epoch 499/500 | (Guest, host) [ = = = = = = = = = = = ] | - 0s 47us/step | - Loss: 0.0695 | - Accuracy: 0.9773 | | Epoch 500/500 | (Guest, host) [ = = = = = = = = = = = ] | - 0s 51us/step | - Loss: 0.0748 | - Accuracy: 0.9798 | | Testing samples | Testing time | Testing loss | Testing accuracy | | (Guest, host) [ = = = = = = = = = = = = = = = = = = = = = = = ] | -0s 447us/step | - Loss: 0.9476 | - Accuracy: 0.7880 |
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