Image Classification on Tiny-ImageNet (beta=0.3)
72.19AccuracyGGEUR
Evaluation results
| Method | Links | |
|---|---|---|
| GGEURBackbone=CLIP+MLP, Federated Learning Algorithm=FedAvg2025.03 | 72.19 | |
| FedFA (CLIP+MLP)Backbone=CLIP+MLP, Federated Learning Algorithm=FedFA2025.03 | 70.68 | |
| FedCLIPFederated Learning Algorithm=FedCLIP2025.03 | 70.37 | |
| FEDGEN (CLIP+MLP)Backbone=CLIP+MLP, Federated Learning Algorithm=FEDGEN2025.03 | 70.35 | |
| FedMix (CLIP+MLP)Backbone=CLIP+MLP, Federated Learning Algorithm=FedMix2025.03 | 68.57 | |
| FedAvg (CLIP+MLP)Backbone=CLIP+MLP, Federated Learning Algorithm=FedAvg2025.03 | 67.65 | |
| FedTPGFederated Learning Algorithm=FedTPG2025.03 | 66.72 |