Image Classification on MNIST LeNet (test)
97.42AccuracyFederated Learning
Evaluation results
| Method | Links | |
|---|---|---|
| Federated LearningBackbone=LeNet, Evaluation Scenario=fault and churn free scenario2026.05 | 97.42 | |
| HEALBackbone=LeNet, Evaluation Scenario=fault and churn free scenario, Overlay config=5 hubs, each node sends to one hub2026.05 | 96.87 | |
| FedLayBackbone=LeNet, Evaluation Scenario=fault and churn free scenario2026.05 | 96.39 | |
| ChordBackbone=LeNet, Evaluation Scenario=fault and churn free scenario2026.05 | 95.42 | |
| RingBackbone=LeNet, Evaluation Scenario=fault and churn free scenario2026.05 | 94.99 | |
| GaiaBackbone=LeNet, Evaluation Scenario=fault and churn free scenario2026.05 | 94.42 | |
| Epidemic LearningBackbone=LeNet, Evaluation Scenario=fault and churn free scenario2026.05 | 91.11 | |
| Gossip LearningBackbone=LeNet, Evaluation Scenario=fault and churn free scenario2026.05 | 70.98 |