Image Classification on Tiny ImageNet (Accuracy and Communication Rounds)
74.7AccuracyFedMoSWA
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| FedMoSWABackbone=ViT-Base, Data Heterogeneity (Dirichlet coefficient)=0.6, Max Rounds=400R, Target Accuracy=70%2025.07 | 74.7 | 144 | |
| FedMoSWABackbone=ViT-Base, Data Heterogeneity (Dirichlet coefficient)=0.3, Max Rounds=400R, Target Accuracy=70%2025.07 | 74.4 | 152 | |
| FedMoSWABackbone=ViT-Base, Data Heterogeneity (Dirichlet coefficient)=0.1, Max Rounds=400R, Target Accuracy=70%2025.07 | 73.8 | 161 | |
| FedSWABackbone=ViT-Base, Data Heterogeneity (Dirichlet coefficient)=0.6, Max Rounds=400R, Target Accuracy=70%2025.07 | 73.2 | 168 | |
| SCAFFOLDBackbone=ViT-Base, Data Heterogeneity (Dirichlet coefficient)=0.6, Max Rounds=400R, Target Accuracy=70%2025.07 | 73.1 | 169 | |
| FedSAMBackbone=ViT-Base, Data Heterogeneity (Dirichlet coefficient)=0.6, Max Rounds=400R, Target Accuracy=70%2025.07 | 72.9 | 180 | |
| FedAvgBackbone=ViT-Base, Data Heterogeneity (Dirichlet coefficient)=0.6, Max Rounds=400R, Target Accuracy=70%2025.07 | 72.8 | 208 | |
| FedSWABackbone=ViT-Base, Data Heterogeneity (Dirichlet coefficient)=0.3, Max Rounds=400R, Target Accuracy=70%2025.07 | 72.6 | 179 | |
| SCAFFOLDBackbone=ViT-Base, Data Heterogeneity (Dirichlet coefficient)=0.3, Max Rounds=400R, Target Accuracy=70%2025.07 | 72.5 | 192 | |
| MoFedSAMBackbone=ViT-Base, Data Heterogeneity (Dirichlet coefficient)=0.6, Max Rounds=400R, Target Accuracy=70%2025.07 | 72.5 | 209 | |
| FedLESAMBackbone=ViT-Base, Data Heterogeneity (Dirichlet coefficient)=0.6, Max Rounds=400R, Target Accuracy=70%2025.07 | 72.5 | 182 | |
| MoFedSAMBackbone=ViT-Base, Data Heterogeneity (Dirichlet coefficient)=0.3, Max Rounds=400R, Target Accuracy=70%2025.07 | 72.4 | 214 | |
| FedSAMBackbone=ViT-Base, Data Heterogeneity (Dirichlet coefficient)=0.3, Max Rounds=400R, Target Accuracy=70%2025.07 | 72.2 | 194 | |
| FedLESAMBackbone=ViT-Base, Data Heterogeneity (Dirichlet coefficient)=0.3, Max Rounds=400R, Target Accuracy=70%2025.07 | 72.1 | 188 | |
| FedASAMBackbone=ViT-Base, Data Heterogeneity (Dirichlet coefficient)=0.6, Max Rounds=400R, Target Accuracy=70%2025.07 | 72.1 | 196 | |
| FedLESAMBackbone=ViT-Base, Data Heterogeneity (Dirichlet coefficient)=0.1, Max Rounds=400R, Target Accuracy=70%2025.07 | 71.9 | 210 | |
| FedSWABackbone=ViT-Base, Data Heterogeneity (Dirichlet coefficient)=0.1, Max Rounds=400R, Target Accuracy=70%2025.07 | 71.9 | 199 | |
| FedAvgBackbone=ViT-Base, Data Heterogeneity (Dirichlet coefficient)=0.3, Max Rounds=400R, Target Accuracy=70%2025.07 | 71.8 | 223 | |
| SCAFFOLDBackbone=ViT-Base, Data Heterogeneity (Dirichlet coefficient)=0.1, Max Rounds=400R, Target Accuracy=70%2025.07 | 71.6 | 202 | |
| MoFedSAMBackbone=ViT-Base, Data Heterogeneity (Dirichlet coefficient)=0.1, Max Rounds=400R, Target Accuracy=70%2025.07 | 71.6 | 229 | |
| FedSAMBackbone=ViT-Base, Data Heterogeneity (Dirichlet coefficient)=0.1, Max Rounds=400R, Target Accuracy=70%2025.07 | 71.4 | 212 | |
| FedASAMBackbone=ViT-Base, Data Heterogeneity (Dirichlet coefficient)=0.3, Max Rounds=400R, Target Accuracy=70%2025.07 | 71.3 | 234 | |
| FedAvgBackbone=ViT-Base, Data Heterogeneity (Dirichlet coefficient)=0.1, Max Rounds=400R, Target Accuracy=70%2025.07 | 70.9 | 258 | |
| FedACGBackbone=ViT-Base, Data Heterogeneity (Dirichlet coefficient)=0.6, Max Rounds=400R, Target Accuracy=70%2025.07 | 70.2 | 386 | |
| FedDynBackbone=ViT-Base, Data Heterogeneity (Dirichlet coefficient)=0.6, Max Rounds=400R, Target Accuracy=70%2025.07 | 69.3 | 400 | |
| FedASAMBackbone=ViT-Base, Data Heterogeneity (Dirichlet coefficient)=0.1, Max Rounds=400R, Target Accuracy=70%2025.07 | 69.2 | 400 | |
| FedACGBackbone=ViT-Base, Data Heterogeneity (Dirichlet coefficient)=0.3, Max Rounds=400R, Target Accuracy=70%2025.07 | 68.5 | 400 | |
| FedDynBackbone=ViT-Base, Data Heterogeneity (Dirichlet coefficient)=0.3, Max Rounds=400R, Target Accuracy=70%2025.07 | 68.2 | 400 | |
| FedDynBackbone=ViT-Base, Data Heterogeneity (Dirichlet coefficient)=0.1, Max Rounds=400R, Target Accuracy=70%2025.07 | 67.5 | 400 | |
| FedACGBackbone=ViT-Base, Data Heterogeneity (Dirichlet coefficient)=0.1, Max Rounds=400R, Target Accuracy=70%2025.07 | 66.2 | 400 |