Image Classification on Tiny-ImageNet (beta=0.1)
69.5AccuracyFedCLIP
Evaluation results
| Method | Links | |
|---|---|---|
| FedCLIPFederated Learning Algorithm=FedCLIP2025.03 | 69.5 | |
| GGEURBackbone=CLIP+MLP, Federated Learning Algorithm=FedAvg2025.03 | 66.86 | |
| FedTPGFederated Learning Algorithm=FedTPG2025.03 | 64.71 | |
| FedFA (CLIP+MLP)Backbone=CLIP+MLP, Federated Learning Algorithm=FedFA2025.03 | 64.62 | |
| FEDGEN (CLIP+MLP)Backbone=CLIP+MLP, Federated Learning Algorithm=FEDGEN2025.03 | 64.16 | |
| FedMix (CLIP+MLP)Backbone=CLIP+MLP, Federated Learning Algorithm=FedMix2025.03 | 63.43 | |
| FedAvg (CLIP+MLP)Backbone=CLIP+MLP, Federated Learning Algorithm=FedAvg2025.03 | 60.1 |