resnet18 - Federated Learning Round 5

Model Details

  • Architecture: resnet18
  • Dataset: CIFAR-10
  • Training Strategy: norm_clipping
  • Round: 5
  • 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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