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resnet18_MNIST_fedavg_round_32
YusufBayram-Personal/resnet18_MNIST_fedavg_round_32
resnet18_MNIST_fedavg_round_32 is a machine learning model from YusufBayram-Personal. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
- Architecture: resnet18 - Dataset: MNIST - Training Strategy: fedavg - Round: 32 - Number of Classes: 10
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At a glance
- Access
- Public
- Created
- Jan 2, 2026
- Updated
- Jan 2, 2026
- SHA
- 6a3990a1
Datasets
Model card
From the Hugging Face model README
resnet18 - Federated Learning Round 32
Model Details
- Architecture: resnet18
- Dataset: MNIST
- Training Strategy: fedavg
- Round: 32
- 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()
- Created
- Jan 2, 2026
- Updated
- Jan 2, 2026