Federated Image Classification on PACS
90.43Accuracy (Photo)FedDAP
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| FedDAPBackbone=ResNet-18, Communication rounds=100, Local epochs=10, Batch size=162026.04 | 90.43 | 75.28 | 77.64 | 95.16 | 84.63 | 7.56 | |
| FedProtoBackbone=ResNet-18, Communication rounds=100, Local epochs=10, Batch size=162026.04 | 88.49 | 71.7 | 74.54 | 89.09 | 80.95 | 3.88 | |
| FedPLVMBackbone=ResNet-18, Communication rounds=100, Local epochs=10, Batch size=162026.04 | 88.44 | 71.22 | 75.84 | 92.73 | 82.06 | 4.99 | |
| FPLBackbone=ResNet-18, Communication rounds=100, Local epochs=10, Batch size=162026.04 | 86.72 | 70.96 | 75.52 | 91.22 | 81.11 | 4.04 | |
| FedRDNBackbone=ResNet-18, Communication rounds=100, Local epochs=10, Batch size=162026.04 | 85.29 | 76.79 | 77.07 | 93.51 | 83.17 | 6.1 | |
| FedGABackbone=ResNet-18, Communication rounds=100, Local epochs=10, Batch size=162026.04 | 84.51 | 67.8 | 73.53 | 90.65 | 79.13 | 2.06 | |
| MOONBackbone=ResNet-18, Communication rounds=100, Local epochs=10, Batch size=162026.04 | 83.47 | 72.69 | 74.55 | 91.66 | 80.59 | 3.52 | |
| COPABackbone=ResNet-18, Communication rounds=100, Local epochs=10, Batch size=162026.04 | 82.46 | 68.55 | 72.95 | 88.16 | 78.03 | 0.96 | |
| FedProxBackbone=ResNet-18, Communication rounds=100, Local epochs=10, Batch size=162026.04 | 81.23 | 66.35 | 74.83 | 87.97 | 77.6 | 0.53 | |
| FedAvgBackbone=ResNet-18, Communication rounds=100, Local epochs=10, Batch size=162026.04 | 80.89 | 68.56 | 72.25 | 86.59 | 77.07 | — |