metadata
tags:
- federated-learning
- shufflenet
- CIFAR-10
- norm_clipping
datasets:
- CIFAR-10
shufflenet - Federated Learning Round 66
Model Details
- Architecture: shufflenet
- Dataset: CIFAR-10
- Training Strategy: norm_clipping
- Round: 66
- 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()