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README.md

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+---
+tags:
+- federated-learning
+- shufflenet
+- GTSRB
+- krum
+datasets:
+- GTSRB
+---
+
+# shufflenet - Federated Learning Round 18
+
+## Model Details
+- **Architecture**: shufflenet
+- **Dataset**: GTSRB
+- **Training Strategy**: krum
+- **Round**: 18
+- **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": 18,
+  "strategy": "krum",
+  "architecture": "ShuffleNet"
+}

pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:a6d56d4ee01d8e78067e6106938c7c7ad4165ec46705cf1273f35d1b2ccf2f5c
+size 3973546