Binary Image Classification on PneumoniaMNIST 1.0 (test)
89.36AccuracyLocal-Best
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| Local-BestBackbone=ResNet-50, Alpha (α)=0.5, Seeds=52026.05 | 89.36 | 87.77 | 0.072 | |
| Centralized TrainingBackbone=ResNet-50, Alpha (α)=0.5, Seeds=52026.05 | 88.27 | 86.15 | 0.0852 | |
| ChainLearnBackbone=ResNet-50, Alpha (α)=0.5, Seeds=52026.05 | 86.03 | 83.19 | 0.0695 | |
| EqualWt-EnsBackbone=ResNet-50, Alpha (α)=0.5, Seeds=5, Weighting Scheme=Equal (Wi = 1)2026.05 | 85.58 | 82.52 | 0.0755 | |
| ChainLearn-DropoutBackbone=ResNet-50, Alpha (α)=0.5, Seeds=5, Dropout=True2026.05 | 84.81 | 81.28 | 0.0669 | |
| FedAvgBackbone=ResNet-50, Alpha (α)=0.5, Seeds=5, Federated Rounds=52026.05 | 83.78 | 78.82 | 0.1191 | |
| FedProxBackbone=ResNet-50, Alpha (α)=0.5, Seeds=52026.05 | 82.31 | 76.55 | 0.1149 | |
| FedMDBackbone=ResNet-50, Alpha (α)=0.5, Seeds=52026.05 | 79.62 | 73.19 | 0.1241 |