| tags: | |
| - federated-learning | |
| - shufflenet | |
| - CIFAR-10 | |
| - norm_clipping | |
| datasets: | |
| - CIFAR-10 | |
| # shufflenet - Federated Learning Round 66 | |
| ## Model Details | |
| - **Architecture**: shufflenet | |
| - **Dataset**: CIFAR-10 | |
| - **Training Strategy**: norm_clipping | |
| - **Round**: 66 | |
| - **Number of Classes**: 10 | |
| ## Training Information | |
| This model was trained using federated learning with the norm_clipping aggregation strategy. | |
| ## Usage | |
| ```python | |
| import torch | |
| model = torch.load("pytorch_model.bin") | |
| model.eval() | |
| ``` | |