Image Classification on CIFAR-100 (Standard)
93.96AccuracyCAFedCL
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| CAFedCLDirichlet parameter (alpha)=1.02026.03 | 93.96 | — | 4.07 | — | |
| FedTGPDirichlet parameter (alpha)=1.02026.03 | 92.58 | — | 4.33 | — | |
| CRATE-αModel variant=L/142024.05 | 92.57 | — | — | — | |
| FedRCLDirichlet parameter (alpha)=1.02026.03 | 92.56 | — | 4.77 | — | |
| LISA-worBackbone=ViT-base, Pre-trained=ImageNet-21K, Evaluation Protocol=Fine-tuning2026.03 | 92.42 | — | — | — | |
| AdamW (full params)Backbone=ViT-base, Pre-trained=ImageNet-21K, Evaluation Protocol=Fine-tuning2026.03 | 92.27 | — | — | — | |
| LISABackbone=ViT-base, Pre-trained=ImageNet-21K, Evaluation Protocol=Fine-tuning2026.03 | 92.2 | — | — | — | |
| FedLCDirichlet parameter (alpha)=1.02026.03 | 91.9 | — | 5.03 | — | |
| SIFTBackbone=ViT-base, Pre-trained=ImageNet-21K, Evaluation Protocol=Fine-tuning2026.03 | 91.45 | — | — | — | |
| FedProtoDirichlet parameter (alpha)=1.02026.03 | 91.27 | — | 5.24 | — | |
| MP-FedCLDirichlet parameter (alpha)=1.02026.03 | 91.21 | — | 4.52 | — | |
| CRATE-αModel variant=L/322024.05 | 91.16 | — | — | — | |
| MOONDirichlet parameter (alpha)=1.02026.03 | 90.95 | — | 5.52 | — | |
| GoLoreBackbone=ViT-base, Pre-trained=ImageNet-21K, Evaluation Protocol=Fine-tuning2026.03 | 90.92 | — | — | — | |
| CRATE-αModel variant=B/162024.05 | 90.58 | — | — | — | |
| CRATE-αModel variant=B/322024.05 | 89.4 | — | — | — | |
| FedProxDirichlet parameter (alpha)=1.02026.03 | 87.93 | — | 6.44 | — | |
| FedAvgDirichlet parameter (alpha)=1.02026.03 | 86.67 | — | 6.19 | — | |
| CRATEModel variant=B/322024.05 | 85.27 | — | — | — | |
| CAFedCLClient amount=502026.03 | 85.16 | — | 5.92 | — | |
| FedProcDirichlet parameter (alpha)=1.02026.03 | 84.33 | — | 6.8 | — | |
| FedRCLClient amount=502026.03 | 84.08 | — | 8.73 | — | |
| XSAMBackbone=DenseNet-121, k=2, rho=rho = rho*/k2026.03 | 84.05 | — | — | — | |
| XSAMBackbone=DenseNet-121, k=4, rho=rho = rho*/k2026.03 | 84.02 | — | — | — | |
| XSAMBackbone=DenseNet-121, k=1, rho=rho = rho*/k2026.03 | 83.96 | — | — | — | |
| LSAMBackbone=DenseNet-121, k=2, rho=rho = rho*/k2026.03 | 83.82 | — | — | — | |
| LSAMBackbone=DenseNet-121, k=1, rho=rho = rho*/k2026.03 | 83.81 | — | — | — | |
| MSAMBackbone=DenseNet-121, k=1, rho=rho = rho*/k2026.03 | 83.81 | — | — | — | |
| FedTGPClient amount=502026.03 | 83.77 | — | 8.24 | — | |
| MSAMBackbone=DenseNet-121, k=4, rho=rho = rho*/k2026.03 | 83.74 | — | — | — | |
| MSAMBackbone=DenseNet-121, k=2, rho=rho = rho*/k2026.03 | 83.67 | — | — | — | |
| CAFedCLClient amount=1002026.03 | 83.6 | — | 6.39 | — | |
| LSAMBackbone=DenseNet-121, k=4, rho=rho = rho*/k2026.03 | 83.4 | — | — | — | |
| FedProtoClient amount=502026.03 | 83.07 | — | 9.92 | — | |
| FedRCLClient amount=1002026.03 | 82.75 | — | 9.11 | — | |
| Hypernetwork (PASS)Channel Sparsity=10%, Transfer Source=Tiny-ImageNet2024.07 | 82.49 | — | — | — | |
| Transfer Channel Mask (PASS)Channel Sparsity=10%, Transfer Source=Tiny-ImageNet2024.07 | 82.45 | — | — | — | |
| BoTBackbone=DeiT-B2026.03 | 82.4 | — | — | — | |
| MangoBackbone=DeiT-B2026.03 | 82.3 | — | — | — | |
| MP-FedCLClient amount=502026.03 | 82.25 | — | 10.2 | — | |
| LiGOBackbone=DeiT-B2026.03 | 82.2 | — | — | — | |
| FedTGPClient amount=1002026.03 | 81.95 | — | 8.9 | — | |
| DepGraphChannel Sparsity=10%, Transfer Source=Tiny-ImageNet2024.07 | 81.6 | — | — | — | |
| XSAMrho (perturbation radius)=0.08, backbone=ResNet-18, multi-step setting (k)=32026.03 | 81.36 | — | — | — | |
| XSAMrho (perturbation radius)=0.12, backbone=ResNet-18, multi-step setting (k)=32026.03 | 81.29 | — | — | — | |
| XSAMrho (perturbation radius)=0.04, backbone=ResNet-18, multi-step setting (k)=32026.03 | 81.23 | — | — | — | |
| LSAMrho (perturbation radius)=0.08, backbone=ResNet-18, multi-step setting (k)=32026.03 | 81.2 | — | — | — | |
| LSAMrho (perturbation radius)=0.12, backbone=ResNet-18, multi-step setting (k)=32026.03 | 81.16 | — | — | — | |
| MSAM+rho (perturbation radius)=0.08, backbone=ResNet-18, multi-step setting (k)=32026.03 | 81.16 | — | — | — | |
| MSAM+rho (perturbation radius)=0.12, backbone=ResNet-18, multi-step setting (k)=32026.03 | 81.16 | — | — | — | |
| MSAMrho (perturbation radius)=0.08, backbone=ResNet-18, multi-step setting (k)=32026.03 | 81.12 | — | — | — | |
| MSAMrho (perturbation radius)=0.04, backbone=ResNet-18, multi-step setting (k)=32026.03 | 81.04 | — | — | — | |
| LSAMrho (perturbation radius)=0.04, backbone=ResNet-18, multi-step setting (k)=32026.03 | 81 | — | — | — | |
| Hypernetwork (PASS)Channel Sparsity=30%, Transfer Source=Tiny-ImageNet2024.07 | 80.98 | — | — | — | |
| MSAMrho (perturbation radius)=0.12, backbone=ResNet-18, multi-step setting (k)=32026.03 | 80.93 | — | — | — | |
| Transfer Channel Mask (PASS)Channel Sparsity=30%, Transfer Source=Tiny-ImageNet2024.07 | 80.83 | — | — | — | |
| GrowregChannel Sparsity=10%, Transfer Source=Tiny-ImageNet2024.07 | 80.79 | — | — | — | |
| SAMrho (perturbation radius)=0.04, backbone=ResNet-18, multi-step setting (k)=32026.03 | 80.79 | — | — | — | |
| LSAM+rho (perturbation radius)=0.08, backbone=ResNet-18, multi-step setting (k)=32026.03 | 80.77 | — | — | — | |
| SAMrho (perturbation radius)=0.08, backbone=ResNet-18, multi-step setting (k)=32026.03 | 80.75 | — | — | — | |
| MSAM+rho (perturbation radius)=0.04, backbone=ResNet-18, multi-step setting (k)=32026.03 | 80.72 | — | — | — | |
| LSAM+rho (perturbation radius)=0.04, backbone=ResNet-18, multi-step setting (k)=32026.03 | 80.56 | — | — | — | |
| VanillaBackbone=ResNet2026.02 | 80.48 | — | — | — | |
| FedProtoClient amount=1002026.03 | 80.44 | — | 10.25 | — | |
| VanillaBackbone=DenseNet2026.02 | 80.34 | — | — | — | |
| SlimChannel Sparsity=10%, Transfer Source=Tiny-ImageNet2024.07 | 80.27 | — | — | — | |
| LSAM+rho (perturbation radius)=0.12, backbone=ResNet-18, multi-step setting (k)=32026.03 | 80.21 | — | — | — | |
| CREDITBackbone=ResNet2026.02 | 79.9 | — | — | — | |
| Group-L1Channel Sparsity=10%, Transfer Source=Tiny-ImageNet2024.07 | 79.8 | — | — | — | |
| SAMrho (perturbation radius)=0.12, backbone=ResNet-18, multi-step setting (k)=32026.03 | 79.72 | — | — | — | |
| MP-FedCLClient amount=1002026.03 | 79.62 | — | 10.55 | — | |
| MOONClient amount=502026.03 | 79.51 | — | 11.58 | — | |
| CREDITBackbone=DenseNet2026.02 | 79.29 | — | — | — | |
| Transfer Channel Mask (PASS)Channel Sparsity=50%, Transfer Source=Tiny-ImageNet2024.07 | 78.81 | — | — | — | |
| VanillaBackbone=GoogLeNet2026.02 | 78.72 | — | — | — | |
| Hypernetwork (PASS)Channel Sparsity=50%, Transfer Source=Tiny-ImageNet2024.07 | 78.67 | — | — | — | |
| MOONClient amount=1002026.03 | 78.19 | — | 10.66 | — | |
| IPGuardBackbone=DenseNet2026.02 | 77.95 | — | — | — | |
| IPGuardBackbone=ResNet2026.02 | 77.54 | — | — | — | |
| CREDITBackbone=GoogLeNet2026.02 | 77.5 | — | — | — | |
| VanillaBackbone=VGG2026.02 | 77.41 | — | — | — | |
| DepGraphChannel Sparsity=30%, Transfer Source=Tiny-ImageNet2024.07 | 76.9 | — | — | — | |
| EWEBackbone=DenseNet2026.02 | 76.72 | — | — | — | |
| CREDITBackbone=VGG2026.02 | 76.71 | — | — | — | |
| IPGuardBackbone=GoogLeNet2026.02 | 76.41 | — | — | — | |
| IPGuardBackbone=VGG2026.02 | 76.22 | — | — | — | |
| EWEBackbone=ResNet2026.02 | 75.85 | — | — | — | |
| FedLCClient amount=502026.03 | 75.32 | — | 7.6 | — | |
| BoTBackbone=DeiT-S2026.03 | 75.3 | — | — | — | |
| WSBackbone=DeiT-S2026.03 | 75.2 | — | — | — | |
| bert2BERTBackbone=DeiT-B2026.03 | 74.9 | — | — | — | |
| EWEBackbone=GoogLeNet2026.02 | 74.69 | — | — | — | |
| EWEBackbone=VGG2026.02 | 74.48 | — | — | — | |
| BackdooringBackbone=ResNet2026.02 | 74.43 | — | — | — | |
| ScratchBackbone=DeiT-B2026.03 | 73.8 | — | — | — | |
| BackdooringBackbone=VGG2026.02 | 73.76 | — | — | — | |
| FedLCClient amount=1002026.03 | 73.09 | — | 8.51 | — | |
| BackdooringBackbone=DenseNet2026.02 | 72.91 | — | — | — | |
| Group-L1Channel Sparsity=30%, Transfer Source=Tiny-ImageNet2024.07 | 72.6 | — | — | — | |
| GrowregChannel Sparsity=30%, Transfer Source=Tiny-ImageNet2024.07 | 72.27 | — | — | — |