Research Article
Research on Open Innovation Intelligent Decision-Making of Cross-Border E-Commerce Based on Federated Learning
Table 2
Local learning results of data holder Guest.
| | Training rounds | Training time | Training loss | Training accuracy |
| | Epoch 1/500 | 324/324 [ = = = = = = = = = = = = = = = ] | -0s 462us/step | - Loss: 0.7697 | - Accuracy: 0.5386 | | Epoch 2/500 | 324/324 [ = = = = = = = = = = = = = = = ] | - 0s 58us/step | - Loss: 0.7236 | - Accuracy: 0.5556 | | Epoch 3/500 | 324/324 [ = = = = = = = = = = = = = = = ] | - 0s 52us/step | - Loss: 0.6956 | - Accuracy: 0.5818 | | …… | | Epoch 498/500 | 324/324 [ = = = = = = = = = = = = = = = ] | - 0s 58us/step | - Loss: 0.1102 | - Accuracy: 0.9545 | | Epoch 499/500 | 324/324 [ = = = = = = = = = = = = = = = ] | - 0s 58us/step | - Loss: 0.1215 | - Accuracy: 0.9506 | | Epoch 500/500 | 324/324 [ = = = = = = = = = = = = = = = ] | - 0s 49us/step | - Loss: 0.1123 | - Accuracy: 0.9645 | | Test sample | Test application time | Testing loss | Testing accuracy | | 82/82 [ = = = = = = = = = = = = = = = = = = = = = = = = = = = = = ] | -0s 438us/step | - Loss: 1.7040 | - Accuracy: 0.5915 |
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