resnet18 - Federated Learning Round 4
Model Details
- Architecture: resnet18
- Dataset: MNIST
- Training Strategy: fedavg
- Round: 4
- Number of Classes: 10
Training Information
This model was trained using federated learning with the fedavg aggregation strategy.
Usage
import torch
model = torch.load("pytorch_model.bin")
model.eval()
- Downloads last month
- 6
Inference Providers
NEW
This model isn't deployed by any Inference Provider.
🙋
Ask for provider support