Image Classification on CIFAR-100 Dirichlet (Varying Beta) (test)
84.21Accuracy (beta=0.5)FedAvg (CoOp) + GGTPC
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| FedAvg (CoOp) + GGTPCBackbone=CoOp, Evaluation Protocol=Federated Learning, Module=GGTPC2025.12 | 84.21 | 83.75 | 83.14 | |
| FedVPTEvaluation Protocol=Federated Learning2025.12 | 83.53 | 83.18 | 80.99 | |
| FedPREvaluation Protocol=Federated Learning2025.12 | 81.17 | 80.44 | 78.91 | |
| FedAvg (CoOp)Backbone=CoOp, Evaluation Protocol=Federated Learning2025.12 | 79.28 | 77.72 | 75.92 | |
| PromptFLEvaluation Protocol=Federated Learning2025.12 | 75.05 | 75.36 | 72.19 | |
| FedCLIPEvaluation Protocol=Federated Learning2025.12 | 72.03 | 71.2 | 70.64 | |
| FedTPGEvaluation Protocol=Federated Learning2025.12 | 71.4 | 70.95 | 68.63 | |
| Zero-shot CLIPEvaluation Protocol=Zero-shot2025.12 | 64.87 | 64.87 | 64.87 |