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README.md

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+---
+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()
+```

config.json

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+{
+  "model_name": "shufflenet",
+  "dataset": "CIFAR-10",
+  "num_classes": 10,
+  "round": 66,
+  "strategy": "norm_clipping",
+  "architecture": "ShuffleNet"
+}

pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:9184899d5a04362d91f64f68d2a25a871b516952ea2b78f04f18a28ec86a12ab
+size 3846698