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README.md

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+---
+tags:
+- federated-learning
+- shufflenet
+- GTSRB
+- krum
+datasets:
+- GTSRB
+---
+
+# shufflenet - Federated Learning Round 16
+
+## Model Details
+- **Architecture**: shufflenet
+- **Dataset**: GTSRB
+- **Training Strategy**: krum
+- **Round**: 16
+- **Number of Classes**: 43
+
+## Training Information
+This model was trained using federated learning with the krum aggregation strategy.
+
+## Usage
+```python
+import torch
+
+model = torch.load("pytorch_model.bin")
+model.eval()
+```

config.json

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+{
+  "model_name": "shufflenet",
+  "dataset": "GTSRB",
+  "num_classes": 43,
+  "round": 16,
+  "strategy": "krum",
+  "architecture": "ShuffleNet"
+}

pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:a1f9fbf0531874dc33fd26e37e523662cf0c3091b528bdfaf4bb47cac438857b
+size 3973546