Image Classification on Cifar-10 (test) (Accuracy, Top-2, Top-3, MSE_l)
99AccuracyGPipe
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| GPipe2020.07 | 99 | — | — | — | |
| Autoaugment2020.07 | 98.52 | — | — | — | |
| Ensemble2020.07 | 98.52 | — | — | — | |
| Randaugment2020.07 | 98.5 | — | — | — | |
| XNAS2020.07 | 98.4 | — | — | — | |
| EfficientNetB5-345Resolution=3452020.07 | 97.88 | — | — | — | |
| EfficientNetB4-299Resolution=2992020.07 | 97.85 | — | — | — | |
| EfficientNetB7-299Resolution=2992020.07 | 97.79 | — | — | — | |
| Yamada et al.2020.07 | 97.69 | — | — | — | |
| DeVries et al.2020.07 | 97.44 | — | — | — | |
| SEResNeXt1012020.07 | 97.31 | — | — | — | |
| InceptionResNetV22020.07 | 97.02 | — | — | — | |
| Zhong et al.2020.07 | 96.92 | — | — | — | |
| Huang et al.2020.07 | 96.54 | — | — | — | |
| Proof of Reasoning (PoR)Range=0-50, epochs=25, rounds=25, Aggregation Strategy=Federated2026.01 | 60.43 | 1.1971 | 79.15 | 87.63 | |
| Proof of Reasoning (PoR)Range=50-100, epochs=25, rounds=25, Aggregation Strategy=Federated2026.01 | 60.03 | 1.2444 | 78.76 | 87.35 | |
| Proof of Reasoning (PoR)Range=0-25, epochs=25, rounds=25, Aggregation Strategy=Federated2026.01 | 56.36 | 1.2852 | 75.73 | 85.73 | |
| Proof of Reasoning (PoR)Range=75-100, epochs=25, rounds=25, Aggregation Strategy=Federated2026.01 | 56.18 | 1.2862 | 76.03 | 85.81 | |
| Proof of Reasoning (PoR)Range=50-75, epochs=25, rounds=25, Aggregation Strategy=Federated2026.01 | 55.31 | 1.3349 | 74.82 | 84.57 | |
| Proof of Reasoning (PoR)Range=25-50, epochs=25, rounds=25, Aggregation Strategy=Federated2026.01 | 54.85 | 1.315 | 74.93 | 84.56 |