Federated Learning On Cityscapes
المقاييس
mIoU
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
اسم النموذج | mIoU | Paper Title | Repository |
|---|---|---|---|
| FedAvg | 38.65 | Improving Generalization in Federated Learning by Seeking Flat Minima | - |
| FedSAM | 41.22 | Improving Generalization in Federated Learning by Seeking Flat Minima | - |
| SiloBN + ASAM | 49.75 | Improving Generalization in Federated Learning by Seeking Flat Minima | - |
| FedASAM | 42.27 | Improving Generalization in Federated Learning by Seeking Flat Minima | - |
| FedASAM + SWA | 43.02 | Improving Generalization in Federated Learning by Seeking Flat Minima | - |
| FedSAM + SWA | 43.42 | Improving Generalization in Federated Learning by Seeking Flat Minima | - |
| SiloBN + SAM | 49.1 | Improving Generalization in Federated Learning by Seeking Flat Minima | - |
| SiloBN | 45.96 | Improving Generalization in Federated Learning by Seeking Flat Minima | - |
| FedAvg + SWA | 42.48 | Improving Generalization in Federated Learning by Seeking Flat Minima | - |
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