resnet18 - Federated Learning Round 15
Model Details
- Architecture: resnet18
- Dataset: MNIST
- Training Strategy: norm_clipping
- Round: 15
- Number of Classes: 10
Training Information
This model was trained using federated learning with the norm_clipping aggregation strategy.
Usage
import torch
model = torch.load("pytorch_model.bin")
model.eval()
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