metadata
tags:
- federated-learning
- resnet18
- MNIST
- norm_clipping
datasets:
- MNIST
resnet18 - Federated Learning Round 18
Model Details
- Architecture: resnet18
- Dataset: MNIST
- Training Strategy: norm_clipping
- Round: 18
- 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()