Image Classification on Tiny-ImageNet (IID & Alpha Robustness Metrics)
70.83IID AccuracySupervised
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| SupervisedLearning Paradigm=Non-FL2026.05 | 70.83 | — | — | |
| FedAvgLearning Paradigm=Federated Learning2026.05 | 36.12 | 32.52 | 29.56 | |
| FedQuadLearning Paradigm=Federated Learning2026.05 | 35.82 | 35.32 | 35.06 | |
| QuadrupletFLLearning Paradigm=Federated Learning2026.05 | 35.78 | 23.26 | 21.74 | |
| QuadrupletLearning Paradigm=Non-FL2026.05 | 33.56 | — | — | |
| TripletLearning Paradigm=Non-FL2026.05 | 30.08 | — | — | |
| MOONLearning Paradigm=Federated Learning2026.05 | 26.82 | 24.54 | 21.88 | |
| TripletFLLearning Paradigm=Federated Learning2026.05 | 22.52 | 21.22 | 21.2 | |
| SupConLearning Paradigm=Non-FL2026.05 | 17.92 | — | — | |
| SupConFLLearning Paradigm=Federated Learning2026.05 | 15.7 | 15.42 | 15.52 |