Medical Image Classification on BT2 (whole dataset)
0.9442Global AccuracyFACMIC
Evaluation results
| Method | Links | |
|---|---|---|
| FACMICEvaluation protocol=Direct classification without fine-tuning, Training condition=iid, Training dataset=BT2024.10 | 0.9442 | |
| FedCLIPEvaluation protocol=Direct classification without fine-tuning, Training condition=iid, Training dataset=BT2024.10 | 0.917 | |
| CentralizedEvaluation protocol=Direct classification without fine-tuning, Training condition=iid, Training dataset=BT2024.10 | 0.8612 | |
| FedProxEvaluation protocol=Direct classification without fine-tuning, Training condition=iid, Training dataset=BT2024.10 | 0.8472 | |
| FedAVGEvaluation protocol=Direct classification without fine-tuning, Training condition=iid, Training dataset=BT2024.10 | 0.8418 | |
| MOONEvaluation protocol=Direct classification without fine-tuning, Training condition=iid, Training dataset=BT2024.10 | 0.8232 | |
| FedFocalEvaluation protocol=Direct classification without fine-tuning, Training condition=iid, Training dataset=BT2024.10 | 0.7999 |