Image Classification on CIFAR10 Dirichlet-0.6 (test)
1,000Communication RoundsMoFedSAM
Evaluation results
| Method | Links | ||
|---|---|---|---|
| MoFedSAMBackbone=VGG-11, Target Accuracy Threshold=80%, Local Epochs (E)=5, Data Heterogeneity=Dirichlet-0.62026.02 | 1,000 | — | |
| SCAFFOLDBackbone=LeNet-5, Target Accuracy Threshold=78%, Local Epochs (E)=5, Data Heterogeneity=Dirichlet-0.62026.02 | 799 | 79.43 | |
| FedAvgMBackbone=VGG-11, Target Accuracy Threshold=80%, Local Epochs (E)=5, Data Heterogeneity=Dirichlet-0.62026.02 | 794 | 83.74 | |
| FedAvgMBackbone=LeNet-5, Target Accuracy Threshold=78%, Local Epochs (E)=5, Data Heterogeneity=Dirichlet-0.62026.02 | 659 | 81.15 | |
| FedAvgMBackbone=ResNet-18, Target Accuracy Threshold=85%, Local Epochs (E)=5, Data Heterogeneity=Dirichlet-0.62026.02 | 656 | 89.05 | |
| FedAvgBackbone=LeNet-5, Target Accuracy Threshold=78%, Local Epochs (E)=5, Data Heterogeneity=Dirichlet-0.62026.02 | 574 | 79.63 | |
| SCAFFOLDBackbone=ResNet-18, Target Accuracy Threshold=85%, Local Epochs (E)=5, Data Heterogeneity=Dirichlet-0.62026.02 | 543 | 88.56 | |
| FedAvgBackbone=ResNet-18, Target Accuracy Threshold=85%, Local Epochs (E)=5, Data Heterogeneity=Dirichlet-0.62026.02 | 542 | 88.92 | |
| FedGAMMABackbone=ResNet-18, Target Accuracy Threshold=85%, Local Epochs (E)=5, Data Heterogeneity=Dirichlet-0.62026.02 | 542 | 88.35 | |
| MoFedSAMBackbone=ResNet-18, Target Accuracy Threshold=85%, Local Epochs (E)=5, Data Heterogeneity=Dirichlet-0.62026.02 | 530 | 86.66 | |
| FedLESAMBackbone=LeNet-5, Target Accuracy Threshold=78%, Local Epochs (E)=5, Data Heterogeneity=Dirichlet-0.62026.02 | 496 | 79.75 | |
| FedLESAMBackbone=ResNet-18, Target Accuracy Threshold=85%, Local Epochs (E)=5, Data Heterogeneity=Dirichlet-0.62026.02 | 480 | 89.01 | |
| FedGAMMABackbone=LeNet-5, Target Accuracy Threshold=78%, Local Epochs (E)=5, Data Heterogeneity=Dirichlet-0.62026.02 | 371 | 81.02 | |
| FedSAMBackbone=LeNet-5, Target Accuracy Threshold=78%, Local Epochs (E)=5, Data Heterogeneity=Dirichlet-0.62026.02 | 361 | 81.21 | |
| FedAvgBackbone=VGG-11, Target Accuracy Threshold=80%, Local Epochs (E)=5, Data Heterogeneity=Dirichlet-0.62026.02 | 313 | 84.14 | |
| FedSAMBackbone=ResNet-18, Target Accuracy Threshold=85%, Local Epochs (E)=5, Data Heterogeneity=Dirichlet-0.62026.02 | 313 | 86.78 | |
| FedACGBackbone=LeNet-5, Target Accuracy Threshold=78%, Local Epochs (E)=5, Data Heterogeneity=Dirichlet-0.62026.02 | 301 | 82.84 | |
| SCAFFOLDBackbone=VGG-11, Target Accuracy Threshold=80%, Local Epochs (E)=5, Data Heterogeneity=Dirichlet-0.62026.02 | 272 | 86.94 | |
| FedNSAMBackbone=ResNet-18, Target Accuracy Threshold=85%, Local Epochs (E)=5, Data Heterogeneity=Dirichlet-0.62026.02 | 272 | 91.35 | |
| MoFedSAMBackbone=LeNet-5, Target Accuracy Threshold=78%, Local Epochs (E)=5, Data Heterogeneity=Dirichlet-0.62026.02 | 255 | 83.42 | |
| FedACGBackbone=VGG-11, Target Accuracy Threshold=80%, Local Epochs (E)=5, Data Heterogeneity=Dirichlet-0.62026.02 | 249 | 84.86 | |
| FedSAMBackbone=VGG-11, Target Accuracy Threshold=80%, Local Epochs (E)=5, Data Heterogeneity=Dirichlet-0.62026.02 | 227 | 85.26 | |
| FedACGBackbone=ResNet-18, Target Accuracy Threshold=85%, Local Epochs (E)=5, Data Heterogeneity=Dirichlet-0.62026.02 | 222 | 90.62 | |
| FedNSAMBackbone=LeNet-5, Target Accuracy Threshold=78%, Local Epochs (E)=5, Data Heterogeneity=Dirichlet-0.62026.02 | 181 | 83.82 | |
| FedGAMMABackbone=VGG-11, Target Accuracy Threshold=80%, Local Epochs (E)=5, Data Heterogeneity=Dirichlet-0.62026.02 | 169 | 86.33 | |
| FedLESAMBackbone=VGG-11, Target Accuracy Threshold=80%, Local Epochs (E)=5, Data Heterogeneity=Dirichlet-0.62026.02 | 169 | 83.54 | |
| FedNSAMBackbone=VGG-11, Target Accuracy Threshold=80%, Local Epochs (E)=5, Data Heterogeneity=Dirichlet-0.62026.02 | 137 | 87.86 |