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README.md

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+---
+tags:
+- federated-learning
+- resnet18
+- MNIST
+- norm_clipping
+datasets:
+- MNIST
+---
+
+# resnet18 - Federated Learning Round 22
+
+## Model Details
+- **Architecture**: resnet18
+- **Dataset**: MNIST
+- **Training Strategy**: norm_clipping
+- **Round**: 22
+- **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": "resnet18",
+  "dataset": "MNIST",
+  "num_classes": 10,
+  "round": 22,
+  "strategy": "norm_clipping",
+  "architecture": "ResNet18"
+}

pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:4359021fa2ad0d09b416f68b44d8b33a2ef84b3823e9a542116bc46a78c62be6
+size 44773490