YusufBayram-Personal/shufflenet_CIFAR-10_norm_clipping_round_2

shufflenet - Federated Learning Round 2

Model Details

• Architecture: shufflenet
• Dataset: CIFAR-10
• Training Strategy: norm_clipping
• Round: 2
• 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()