README.md

---

tags:
- federated-learning
- shufflenet
- CIFAR-10
- norm_clipping
datasets:
- CIFAR-10
---


# shufflenet - Federated Learning Round 39

## Model Details
- **Architecture**: shufflenet
- **Dataset**: CIFAR-10
- **Training Strategy**: norm_clipping

- **Round**: 39

- **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()

```