Medical Image Classification on Breast Cancer
83ResNet AccuracyMH-pFLGB
Evaluation results
| Method | Links | ||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| MH-pFLGB2024.06 | 83 | 70.76 | 94.5 | 93.99 | 82 | 77.96 | 97.5 | 96.08 | 96.2 | 94.52 | 82.1 | 70.8 | 89.3 | 70.15 | 99.5 | 99.28 | 90.38 | 84.19 | |
| KT-PFL2024.06 | 76.5 | 67.33 | 87 | 83.31 | 75.5 | 64.32 | 88.5 | 86.21 | 93.5 | 90.21 | 78 | 69.31 | 86.5 | 68.19 | 90.5 | 90.23 | 84.5 | 77.39 | |
| pFedDF2024.06 | 75.5 | 65.36 | 85.3 | 82.56 | 74.1 | 62.37 | 89.4 | 87.42 | 93.5 | 90.21 | 79.6 | 72.19 | 87.9 | 70.95 | 87.4 | 85.21 | 84.09 | 77.03 | |
| FedDF2024.06 | 72.1 | 59.49 | 81.7 | 80.94 | 72.3 | 62.21 | 89.3 | 87.35 | 93.5 | 90.21 | 75.7 | 66.09 | 84.7 | 68.19 | 83.3 | 78.26 | 81.58 | 74.09 | |
| DS-PFL2024.06 | 71.5 | 60.99 | 79.2 | 77.34 | 76.5 | 65.47 | 89.9 | 87.92 | 93.5 | 90.21 | 79.4 | 73.31 | 85.3 | 66.91 | 85.1 | 82.66 | 82.55 | 75.6 | |
| FedMD2024.06 | 69.2 | 57.21 | 82.3 | 80.27 | 70.4 | 60.87 | 87.5 | 85.44 | 90.7 | 87.45 | 76.2 | 66.27 | 83.5 | 64.93 | 84.2 | 80.01 | 80.5 | 72.81 | |
| Only Local Training2024.06 | 59 | 45.5 | 84.5 | 84.12 | 66.5 | 55.19 | 84 | 79.19 | 87.5 | 84.9 | 75.5 | 57.52 | 85.5 | 68.84 | 87.5 | 85.15 | 78.75 | 70.05 |