Image Classification on Office-Caltech10
97.93Class A AccuracyPromptFL+FedProx
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| PromptFL+FedProxTraining protocol=Prompt-based Federated Learning2024.02 | 97.93 | 97.21 | 96.89 | 100 | 98.01 | |
| FedOTPTraining protocol=Prompt-based Federated Learning2024.02 | 97.92 | 98.68 | 100 | 100 | 99.16 | |
| PromptFLTraining protocol=Prompt-based Federated Learning2024.02 | 96.41 | 96.39 | 96.9 | 100 | 97.42 | |
| CoOpTraining protocol=Local Training2024.02 | 96.38 | 97.24 | 100 | 98.31 | 97.98 | |
| WarmFedCommunication Rounds=one-shot2025.03 | 94.8 | 88 | 100 | 93.2 | 94 | |
| Pre-IN1KModel Type=PM, Communication Rounds=5-rounds2025.03 | 94.8 | 72 | 93.8 | 96.6 | 89.3 | |
| FGLModel Type=GM, Communication Rounds=5-rounds2025.03 | 94.8 | 88.9 | 90.6 | 88.1 | 90.6 | |
| FGLModel Type=PM, Communication Rounds=5-rounds2025.03 | 94.3 | 28.4 | 96.9 | 91.5 | 77.8 | |
| WarmFedModel Type=PM, Communication Rounds=5-rounds2025.03 | 94.3 | 90.7 | 100 | 100 | 96.2 | |
| Centralized2025.03 | 93.8 | 72 | 93.8 | 98.3 | 84.7 | |
| WarmFedModel Type=GM, Communication Rounds=5-rounds2025.03 | 93.8 | 90.7 | 100 | 100 | 96.1 | |
| FedBNModel Type=PM2025.03 | 89.1 | 72 | 84.4 | 96.6 | 85.5 | |
| Pre-IN1KModel Type=GM, Communication Rounds=5-rounds2025.03 | 88.5 | 87.1 | 93.8 | 84.8 | 88.5 | |
| FedAvgModel Type=PM2025.03 | 87.5 | 81.8 | 75 | 98.3 | 85.6 | |
| FGLCommunication Rounds=one-shot2025.03 | 81.8 | 81.8 | 93.8 | 62.7 | 80 | |
| FedAvgModel Type=GM2025.03 | 81.3 | 81.8 | 75 | 96.6 | 82.9 | |
| FedBNModel Type=GM2025.03 | 77.1 | 71.6 | 62.5 | 76.3 | 75.6 | |
| Zero-Shot CLIPTraining protocol=Local Training2024.02 | 19.3 | 18.2 | 21.9 | 18.6 | 19.5 |