Research Article
Research on Open Innovation Intelligent Decision-Making of Cross-Border E-Commerce Based on Federated Learning
Table 3
Local learning results of data holder Host.
| | Training rounds | Training time | Training loss | Training accuracy |
| | Epoch 1/500 | 364/364 [ = = = = = = = = = = = = = = = ] | -0s 614us/step | - Loss: 0.8093 | - Accuracy: 0.4986 | | Epoch 2/500 | 364/364 [ = = = = = = = = = = = = = = = ] | - 0s 74us/step | - Loss: 0.6864 | - Accuracy: 0.6003 | | Epoch 3/500 | 364/364 [ = = = = = = = = = = = = = = = ] | - 0s 71us/step | - Loss: 0.6686 | - Accuracy: 0.6058 | | …… | | Epoch 498/500 | 364/364 [ = = = = = = = = = = = = = = = ] | - 0s 55us/step | - Loss: 0.0714 | - Accuracy: 0.9753 | | Epoch 499/500 | 364/364 [ = = = = = = = = = = = = = = = ] | - 0s 49us/step | - Loss: 0.0728 | - Accuracy: 0.9778 | | Epoch 500/500 | 364/364 [ = = = = = = = = = = = = = = = ] | - 0s 52us/step | - Loss: 0.0710 | - Accuracy: 0.9780 | | Test sample | Test application time | Testing loss | Testing accuracy | | 92/92 [ = = = = = = = = = = = = = = = = = = = = = = = = = = = = = ] | -0s 531us/step | - Loss: 1.3690 | - Accuracy: 0.6254 |
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