Image Classification on Tiny ImageNet (Acc and Rounds)
0.7123AccuracyFedNSAM
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| FedNSAMModel=ViT-Base, Param=88M, FLOPs=55.4G, Dirichlet coefficient=0.1, Participation Rate=5%, Pre-training=ImageNet-22k, Batch Size=162026.02 | 0.7123 | 26 | |
| FedNSAMModel=Swin-Base, Param=80M, FLOPs=15.4G, Dirichlet coefficient=0.1, Participation Rate=5%, Pre-training=ImageNet-22k, Batch Size=162026.02 | 0.7086 | 42 | |
| FedAGCModel=ViT-Base, Param=88M, FLOPs=55.4G, Dirichlet coefficient=0.1, Participation Rate=5%, Pre-training=ImageNet-22k, Batch Size=162026.02 | 0.7022 | 41 | |
| FedNSAMModel=Swin-Small, Param=50M, FLOPs=8.7G, Dirichlet coefficient=0.1, Participation Rate=5%, Pre-training=ImageNet-22k, Batch Size=162026.02 | 0.7012 | 67 | |
| FedAvgModel=Swin-Small, Param=50M, FLOPs=8.7G, Dirichlet coefficient=0.1, Participation Rate=5%, Pre-training=ImageNet-22k, Batch Size=16, Input size=2242026.02 | 0.698 | 100 | |
| FedAvgMModel=ViT-Base, Param=88M, FLOPs=55.4G, Dirichlet coefficient=0.1, Participation Rate=5%, Pre-training=ImageNet-22k, Batch Size=162026.02 | 0.6977 | 80 | |
| SCAFFOLDModel=Swin-Small, Param=50M, FLOPs=8.7G, Dirichlet coefficient=0.1, Participation Rate=5%, Pre-training=ImageNet-22k, Batch Size=162026.02 | 0.6962 | 82 | |
| FedAvgMModel=Swin-Base, Param=80M, FLOPs=15.4G, Dirichlet coefficient=0.1, Participation Rate=5%, Pre-training=ImageNet-22k, Batch Size=162026.02 | 0.6818 | 75 | |
| FedAvgMModel=Swin-Small, Param=50M, FLOPs=8.7G, Dirichlet coefficient=0.1, Participation Rate=5%, Pre-training=ImageNet-22k, Batch Size=162026.02 | 0.6763 | 100 | |
| FedAvgModel=Swin-Base, Param=80M, FLOPs=15.4G, Dirichlet coefficient=0.1, Participation Rate=5%, Pre-training=ImageNet-22k, Batch Size=162026.02 | 0.6741 | 100 | |
| SCAFFOLDModel=Swin-Base, Param=80M, FLOPs=15.4G, Dirichlet coefficient=0.1, Participation Rate=5%, Pre-training=ImageNet-22k, Batch Size=162026.02 | 0.6737 | 88 | |
| FedLESAMModel=ViT-Base, Param=88M, FLOPs=55.4G, Dirichlet coefficient=0.1, Participation Rate=5%, Pre-training=ImageNet-22k, Batch Size=162026.02 | 0.6628 | 100 | |
| FedGAMMAModel=ViT-Base, Param=88M, FLOPs=55.4G, Dirichlet coefficient=0.1, Participation Rate=5%, Pre-training=ImageNet-22k, Batch Size=162026.02 | 0.6602 | 100 | |
| FedLESAMModel=Swin-Base, Param=80M, FLOPs=15.4G, Dirichlet coefficient=0.1, Participation Rate=5%, Pre-training=ImageNet-22k, Batch Size=162026.02 | 0.6589 | 100 | |
| FedGAMMAModel=Swin-Base, Param=80M, FLOPs=15.4G, Dirichlet coefficient=0.1, Participation Rate=5%, Pre-training=ImageNet-22k, Batch Size=162026.02 | 0.6564 | 100 | |
| FedAGCModel=Swin-Base, Param=80M, FLOPs=15.4G, Dirichlet coefficient=0.1, Participation Rate=5%, Pre-training=ImageNet-22k, Batch Size=162026.02 | 0.6554 | 100 | |
| FedSAMModel=ViT-Base, Param=88M, FLOPs=55.4G, Dirichlet coefficient=0.1, Participation Rate=5%, Pre-training=ImageNet-22k, Batch Size=162026.02 | 0.6546 | 100 | |
| FedLESAMModel=Swin-Small, Param=50M, FLOPs=8.7G, Dirichlet coefficient=0.1, Participation Rate=5%, Pre-training=ImageNet-22k, Batch Size=162026.02 | 0.6511 | 100 | |
| FedGAMMAModel=Swin-Small, Param=50M, FLOPs=8.7G, Dirichlet coefficient=0.1, Participation Rate=5%, Pre-training=ImageNet-22k, Batch Size=162026.02 | 0.6502 | 100 | |
| SCAFFOLDModel=ViT-Base, Param=88M, FLOPs=55.4G, Dirichlet coefficient=0.1, Participation Rate=5%, Pre-training=ImageNet-22k, Batch Size=162026.02 | 0.6502 | 100 | |
| FedAvgModel=ViT-Base, Param=88M, FLOPs=55.4G, Dirichlet coefficient=0.1, Participation Rate=5%, Pre-training=ImageNet-22k, Batch Size=162026.02 | 0.6464 | 100 | |
| MoFedSAMModel=ViT-Base, Param=88M, FLOPs=55.4G, Dirichlet coefficient=0.1, Participation Rate=5%, Pre-training=ImageNet-22k, Batch Size=162026.02 | 0.646 | 100 | |
| FedSAMModel=Swin-Base, Param=80M, FLOPs=15.4G, Dirichlet coefficient=0.1, Participation Rate=5%, Pre-training=ImageNet-22k, Batch Size=162026.02 | 0.6456 | 100 | |
| MoFedSAMModel=Swin-Base, Param=80M, FLOPs=15.4G, Dirichlet coefficient=0.1, Participation Rate=5%, Pre-training=ImageNet-22k, Batch Size=162026.02 | 0.6445 | 100 | |
| FedAGCModel=Swin-Small, Param=50M, FLOPs=8.7G, Dirichlet coefficient=0.1, Participation Rate=5%, Pre-training=ImageNet-22k, Batch Size=162026.02 | 0.6438 | 100 | |
| MoFedSAMModel=Swin-Small, Param=50M, FLOPs=8.7G, Dirichlet coefficient=0.1, Participation Rate=5%, Pre-training=ImageNet-22k, Batch Size=162026.02 | 0.6426 | 100 | |
| FedSAMModel=Swin-Small, Param=50M, FLOPs=8.7G, Dirichlet coefficient=0.1, Participation Rate=5%, Pre-training=ImageNet-22k, Batch Size=162026.02 | 0.6364 | 100 | |
| RCSAalpha=0.1, Model Heterogeneity Setting=HtFE92026.05 | 0.3308 | — | |
| GCSAalpha=0.1, Model Heterogeneity Setting=HtFE92026.05 | 0.3287 | — | |
| FedKDalpha=0.1, Model Heterogeneity Setting=HtFE92026.05 | 0.3279 | — | |
| FMLalpha=0.1, Model Heterogeneity Setting=HtFE92026.05 | 0.3243 | — | |
| LG-FedAvgalpha=0.1, Model Heterogeneity Setting=HtFE92026.05 | 0.323 | — | |
| FedDistillalpha=0.1, Model Heterogeneity Setting=HtFE92026.05 | 0.3222 | — | |
| FedProtoalpha=0.1, Model Heterogeneity Setting=HtFE92026.05 | 0.3152 | — | |
| FedMRLalpha=0.1, Model Heterogeneity Setting=HtFE92026.05 | 0.3143 | — | |
| FedTGPalpha=0.1, Model Heterogeneity Setting=HtFE92026.05 | 0.3116 | — | |
| FedGenalpha=0.1, Model Heterogeneity Setting=HtFE92026.05 | 0.3086 | — | |
| AlignFedalpha=0.1, Model Heterogeneity Setting=HtFE92026.05 | 0.3077 | — | |
| FedGHalpha=0.1, Model Heterogeneity Setting=HtFE92026.05 | 0.2995 | — | |
| GCSAalpha=0.5, Model Heterogeneity Setting=HtFE92026.05 | 0.1802 | — | |
| FMLalpha=0.5, Model Heterogeneity Setting=HtFE92026.05 | 0.1799 | — | |
| RCSAalpha=0.5, Model Heterogeneity Setting=HtFE92026.05 | 0.1786 | — | |
| FedKDalpha=0.5, Model Heterogeneity Setting=HtFE92026.05 | 0.178 | — | |
| FedDistillalpha=0.5, Model Heterogeneity Setting=HtFE92026.05 | 0.1768 | — | |
| FedProtoalpha=0.5, Model Heterogeneity Setting=HtFE92026.05 | 0.1696 | — | |
| FedMRLalpha=0.5, Model Heterogeneity Setting=HtFE92026.05 | 0.1622 | — | |
| LG-FedAvgalpha=0.5, Model Heterogeneity Setting=HtFE92026.05 | 0.1575 | — | |
| FedTGPalpha=0.5, Model Heterogeneity Setting=HtFE92026.05 | 0.157 | — | |
| FedGenalpha=0.5, Model Heterogeneity Setting=HtFE92026.05 | 0.1457 | — | |
| AlignFedalpha=0.5, Model Heterogeneity Setting=HtFE92026.05 | 0.1454 | — | |
| GCSAalpha=1.0, Model Heterogeneity Setting=HtFE92026.05 | 0.1411 | — | |
| FMLalpha=1.0, Model Heterogeneity Setting=HtFE92026.05 | 0.1385 | — | |
| FedKDalpha=1.0, Model Heterogeneity Setting=HtFE92026.05 | 0.1372 | — | |
| RCSAalpha=1.0, Model Heterogeneity Setting=HtFE92026.05 | 0.1341 | — | |
| FedDistillalpha=1.0, Model Heterogeneity Setting=HtFE92026.05 | 0.1307 | — | |
| FedProtoalpha=1.0, Model Heterogeneity Setting=HtFE92026.05 | 0.1251 | — | |
| FedMRLalpha=1.0, Model Heterogeneity Setting=HtFE92026.05 | 0.1248 | — | |
| FedGHalpha=0.5, Model Heterogeneity Setting=HtFE92026.05 | 0.1223 | — | |
| FedTGPalpha=1.0, Model Heterogeneity Setting=HtFE92026.05 | 0.118 | — | |
| LG-FedAvgalpha=1.0, Model Heterogeneity Setting=HtFE92026.05 | 0.1179 | — | |
| AlignFedalpha=1.0, Model Heterogeneity Setting=HtFE92026.05 | 0.1073 | — | |
| FedGenalpha=1.0, Model Heterogeneity Setting=HtFE92026.05 | 0.1065 | — | |
| FedGHalpha=1.0, Model Heterogeneity Setting=HtFE92026.05 | 0.0912 | — |