Image Classification on Tiny-ImageNet (test)
94.21AccuracyCLAdapter
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| CLAdapterBackbone=ViT-L2025.12 | 94.21 | — | — | — | — | — | |
| Swin-L/4Backbone=Swin-L/42025.12 | 91.35 | — | — | — | — | — | |
| LoRSPVision Backbone=ViT-B/162026.06 | 90.78 | — | — | — | — | — | |
| EVPVision Backbone=ViT-B/16, reproduced=true2026.06 | 90.03 | — | — | — | — | — | |
| LoR-VPVision Backbone=ViT-B/16, reproduced=true2026.06 | 89.78 | — | — | — | — | — | |
| LPVision Backbone=ViT-B/16, reproduced=true2026.06 | 88.86 | — | — | — | — | — | |
| LoRSPVision Backbone=Swin-B2026.06 | 88.46 | — | — | — | — | — | |
| LoR-VPVision Backbone=Swin-B, reproduced=true2026.06 | 88.02 | — | — | — | — | — | |
| FedPAC_SOAPModel Architecture=ViT-Base, Data Distribution=Dir-0.1, Communication Rounds=100, Number of Clients=50, Client Participation Rate=10%, Batch Size=16, Local Steps (K)=502026.02 | 87.92 | — | — | — | — | — | |
| Local SOAPModel Architecture=ViT-Base, Data Distribution=Dir-0.1, Communication Rounds=100, Number of Clients=50, Client Participation Rate=10%, Batch Size=16, Local Steps (K)=502026.02 | 87.72 | — | — | — | — | — | |
| FedPAC_MuonModel Architecture=ViT-Base, Data Distribution=Dir-0.1, Communication Rounds=100, Number of Clients=50, Client Participation Rate=10%, Batch Size=16, Local Steps (K)=502026.02 | 87.63 | — | — | — | — | — | |
| S^2SAMBackbone=ViT-B/32, Pruning Ratio=Dense, WCR=w2025.11 | 87.31 | — | — | — | — | — | |
| DeiT-B/16-DBackbone=DeiT-B/16-D2025.12 | 87.29 | — | — | — | — | — | |
| SAMBackbone=ViT-B/32, Pruning Ratio=Dense, WCR=w/o2025.11 | 87.29 | — | — | — | — | — | |
| Local MuonModel Architecture=ViT-Base, Data Distribution=Dir-0.1, Communication Rounds=100, Number of Clients=50, Client Participation Rate=10%, Batch Size=16, Local Steps (K)=502026.02 | 87.22 | — | — | — | — | — | |
| S^2SAMBackbone=ViT-B/32, Pruning Ratio=Dense, WCR=w/o2025.11 | 87.2 | — | — | — | — | — | |
| CrAMBackbone=ViT-B/32, Pruning Ratio=Dense, WCR=w2025.11 | 87.12 | — | — | — | — | — | |
| SAMBackbone=ViT-B/32, Pruning Ratio=Dense, WCR=w2025.11 | 87.11 | — | — | — | — | — | |
| CrAMBackbone=ViT-B/32, Pruning Ratio=Dense, WCR=w/o2025.11 | 87.08 | — | — | — | — | — | |
| FedAvgModel Architecture=ViT-Base, Data Distribution=Dir-0.1, Communication Rounds=100, Number of Clients=50, Client Participation Rate=10%, Batch Size=16, Local Steps (K)=502026.02 | 86.97 | — | — | — | — | — | |
| LoRSPVision Backbone=ViT-B/322026.06 | 86.93 | — | — | — | — | — | |
| SGDBackbone=ViT-B/32, Pruning Ratio=Dense, WCR=w/o2025.11 | 86.89 | — | — | — | — | — | |
| SCAFFOLDModel Architecture=ViT-Base, Data Distribution=Dir-0.1, Communication Rounds=100, Number of Clients=50, Client Participation Rate=10%, Batch Size=16, Local Steps (K)=502026.02 | 86.85 | — | — | — | — | — | |
| CaiT-S/36Backbone=CaiT-S/362025.12 | 86.74 | — | — | — | — | — | |
| SGDBackbone=ViT-B/32, Pruning Ratio=Dense, WCR=w2025.11 | 86.72 | — | — | — | — | — | |
| Local AdamWModel Architecture=ViT-Base, Data Distribution=Dir-0.1, Communication Rounds=100, Number of Clients=50, Client Participation Rate=10%, Batch Size=16, Local Steps (K)=502026.02 | 86.65 | — | — | — | — | — | |
| FedPAC_SophiaModel Architecture=ViT-Base, Data Distribution=Dir-0.1, Communication Rounds=100, Number of Clients=50, Client Participation Rate=10%, Batch Size=16, Local Steps (K)=502026.02 | 86.55 | — | — | — | — | — | |
| LPVision Backbone=Swin-B, reproduced=true2026.06 | 86.54 | — | — | — | — | — | |
| ViT-LBackbone=ViT-L2025.12 | 86.43 | — | — | — | — | — | |
| Local SophiaModel Architecture=ViT-Base, Data Distribution=Dir-0.1, Communication Rounds=100, Number of Clients=50, Client Participation Rate=10%, Batch Size=16, Local Steps (K)=502026.02 | 86.16 | — | — | — | — | — | |
| EVPVision Backbone=ViT-B/32, reproduced=true2026.06 | 85.83 | — | — | — | — | — | |
| SAMBackbone=ViT-B/32, Pruning Ratio=60% Pruned, WCR=w2025.11 | 85.77 | — | — | — | — | — | |
| LoR-VPVision Backbone=ViT-B/32, reproduced=true2026.06 | 85.77 | — | — | — | — | — | |
| SGDBackbone=ViT-B/32, Pruning Ratio=60% Pruned, WCR=w2025.11 | 85.43 | — | — | — | — | — | |
| ER + CCL-DCMemory Size M=2000, Backbone=ResNet-18, Pre-trained=false2023.12 | 85.24 | — | — | — | — | — | |
| EVPVision Backbone=Swin-B, reproduced=true2026.06 | 84.91 | — | — | — | — | — | |
| AutoVPVision Backbone=Swin-B2026.06 | 84.81 | — | — | — | — | — | |
| S^2SAMBackbone=ViT-B/32, Pruning Ratio=60% Pruned, WCR=w2025.11 | 84.59 | — | — | — | — | — | |
| CrAMBackbone=ViT-B/32, Pruning Ratio=60% Pruned, WCR=w2025.11 | 84.46 | — | — | — | — | — | |
| FedCMModel Architecture=ViT-Base, Data Distribution=Dir-0.1, Communication Rounds=100, Number of Clients=50, Client Participation Rate=10%, Batch Size=16, Local Steps (K)=502026.02 | 84.24 | — | — | — | — | — | |
| CLIP Steering VectorBackbone=ViT-B/16, Steering Setting=RAG-enhanced (oracle unlabeled external data)2025.06 | 84.07 | — | — | — | — | — | |
| LPVision Backbone=ViT-B/32, reproduced=true2026.06 | 83.95 | — | — | — | — | — | |
| CrAMBackbone=ViT-B/32, Pruning Ratio=60% Pruned, WCR=w/o2025.11 | 83.29 | — | — | — | — | — | |
| SGDBackbone=ViT-B/32, Pruning Ratio=60% Pruned, WCR=w/o2025.11 | 82.9 | — | — | — | — | — | |
| DER++ + CCL-DCMemory Size M=2000, Backbone=ResNet-18, Pre-trained=false2023.12 | 82.83 | — | — | — | — | — | |
| SAMBackbone=ViT-B/32, Pruning Ratio=60% Pruned, WCR=w/o2025.11 | 82.79 | — | — | — | — | — | |
| S^2SAMBackbone=ViT-B/32, Pruning Ratio=60% Pruned, WCR=w/o2025.11 | 82.62 | — | — | — | — | — | |
| AutoVPVision Backbone=ViT-B/322026.06 | 82.43 | — | — | — | — | — | |
| ER + CCL-DCMemory Size M=5000, Backbone=ResNet-18, Pre-trained=false2023.12 | 81.75 | — | — | — | — | — | |
| VS2++Backbone=ViT-B/16, Steering Setting=RAG-enhanced (oracle unlabeled external data)2025.06 | 81.55 | — | — | — | — | — | |
| AutoVPVision Backbone=ViT-B/162026.06 | 81.42 | — | — | — | — | — | |
| CLIP Steering VectorBackbone=ViT-B/32, Steering Setting=RAG-enhanced (oracle unlabeled external data)2025.06 | 80.38 | — | — | — | — | — | |
| GSA + CCL-DCMemory Size M=2000, Backbone=ResNet-18, Pre-trained=false2023.12 | 80.36 | — | — | — | — | — | |
| S^2SAMBackbone=ViT-B/32, Pruning Ratio=70% Pruned, WCR=w2025.11 | 79.9 | — | — | — | — | — | |
| SAMBackbone=ViT-B/32, Pruning Ratio=70% Pruned, WCR=w2025.11 | 79.82 | — | — | — | — | — | |
| ER + CCL-DCMemory Size M=10000, Backbone=ResNet-18, Pre-trained=false2023.12 | 79.54 | — | — | — | — | — | |
| SGDBackbone=ViT-B/32, Pruning Ratio=70% Pruned, WCR=w2025.11 | 79.23 | — | — | — | — | — | |
| DER++ + CCL-DCMemory Size M=5000, Backbone=ResNet-18, Pre-trained=false2023.12 | 78.8 | — | — | — | — | — | |
| LoRSPVision Backbone=ResNet-502026.06 | 78.27 | — | — | — | — | — | |
| DER++ + CCL-DCMemory Size M=10000, Backbone=ResNet-18, Pre-trained=false2023.12 | 77.79 | — | — | — | — | — | |
| LoR-VPVision Backbone=ResNet-50, reproduced=true2026.06 | 77.25 | — | — | — | — | — | |
| CrAMBackbone=ViT-B/32, Pruning Ratio=70% Pruned, WCR=w2025.11 | 77.14 | — | — | — | — | — | |
| AutoVPVision Backbone=ResNet-502026.06 | 77.04 | — | — | — | — | — | |
| EVPVision Backbone=ResNet-50, reproduced=true2026.06 | 77.04 | — | — | — | — | — | |
| VS2++Backbone=ViT-B/16, Steering Setting=RAG-enhanced (non-oracle unlabeled external data)2025.06 | 76.92 | — | — | — | — | — | |
| CLIP Steering VectorBackbone=ViT-B/16, Steering Setting=RAG-enhanced (non-oracle unlabeled external data)2025.06 | 76.79 | — | — | — | — | — | |
| LPVision Backbone=ResNet-50, reproduced=true2026.06 | 76.52 | — | — | — | — | — | |
| CrAMBackbone=ViT-B/32, Pruning Ratio=70% Pruned, WCR=w/o2025.11 | 75.36 | — | — | — | — | — | |
| GSA + CCL-DCMemory Size M=5000, Backbone=ResNet-18, Pre-trained=false2023.12 | 74.77 | — | — | — | — | — | |
| CLIP Steering VectorBackbone=ViT-B/32, Steering Setting=RAG-enhanced (non-oracle unlabeled external data)2025.06 | 74.06 | — | — | — | — | — | |
| LoRSPVision Backbone=CLIP2026.06 | 74.06 | — | — | — | — | — | |
| SGDBackbone=ViT-B/32, Pruning Ratio=70% Pruned, WCR=w/o2025.11 | 73.79 | — | — | — | — | — | |
| VS2++Backbone=ViT-B/32, Steering Setting=RAG-enhanced (oracle unlabeled external data)2025.06 | 73.27 | — | — | — | — | — | |
| SAMBackbone=ViT-B/32, Pruning Ratio=70% Pruned, WCR=w/o2025.11 | 73.22 | — | — | — | — | — | |
| S^2SAMBackbone=ViT-B/32, Pruning Ratio=70% Pruned, WCR=w/o2025.11 | 72.86 | — | — | — | — | — | |
| Weighted RAGBackbone=ViT-B/32, Steering Setting=RAG-enhanced (oracle unlabeled external data)2025.06 | 72.53 | — | — | — | — | — | |
| VS2++Backbone=ViT-B/32, Steering Setting=RAG-enhanced (non-oracle unlabeled external data)2025.06 | 72.12 | — | — | — | — | — | |
| LoR-VPVision Backbone=CLIP, reproduced=true2026.06 | 71.58 | — | — | — | — | — | |
| EVPVision Backbone=CLIP, reproduced=true2026.06 | 71.34 | — | — | — | — | — | |
| SupervisedLearning Paradigm=Supervised (Non-FL), Data Heterogeneity=IID2026.05 | 70.83 | — | — | — | — | — | |
| AutoMixBackbone=RX-502021.03 | 70.72 | — | — | — | — | — | |
| GSA + CCL-DCMemory Size M=10000, Backbone=ResNet-18, Pre-trained=false2023.12 | 70.71 | — | — | — | — | — | |
| DER++Memory Size M=10000, Backbone=ResNet-18, Pre-trained=false2023.12 | 70.28 | — | — | — | — | — | |
| DER++Memory Size M=2000, Backbone=ResNet-18, Pre-trained=false2023.12 | 70.01 | — | — | — | — | — | |
| E2OALMismatch ratio=10%2026.03 | 68.53 | — | — | — | — | — | |
| ERMemory Size M=2000, Backbone=ResNet-18, Pre-trained=false2023.12 | 68.15 | — | — | — | — | — | |
| ARArchitecture=ResNet-50, Pre-training=ImageNet, Paradigm=Standard PF2026.04 | 68.15 | — | — | — | — | — | |
| Co-MixupBackbone=RX-502021.03 | 68.02 | — | — | — | — | — | |
| GUEArchitecture=VGG-11, Pre-training=ImageNet, Paradigm=Standard PF2026.04 | 67.93 | — | — | — | — | — | |
| LPVision Backbone=CLIP, reproduced=true2026.06 | 67.93 | — | — | — | — | — | |
| Weighted RAGBackbone=ViT-B/16, Steering Setting=RAG-enhanced (oracle unlabeled external data)2025.06 | 67.84 | — | — | — | — | — | |
| PuzzleMixBackbone=RX-502021.03 | 67.83 | — | — | — | — | — | |
| GUEArchitecture=ResNet-50, Pre-training=ImageNet, Paradigm=Standard PF2026.04 | 67.61 | — | — | — | — | — | |
| AutoVPVision Backbone=CLIP2026.06 | 67.44 | — | — | — | — | — | |
| AutoMixBackbone=R-182021.03 | 67.33 | — | — | — | — | — | |
| ManifoldMixBackbone=RX-502021.03 | 67.3 | — | — | — | — | — | |
| DER++Memory Size M=5000, Backbone=ResNet-18, Pre-trained=false2023.12 | 66.87 | — | — | — | — | — | |
| SaliencyMixBackbone=RX-502021.03 | 66.55 | — | — | — | — | — | |
| CutMixBackbone=RX-502021.03 | 66.47 | — | — | — | — | — | |
| EMNArchitecture=ResNet-50, Pre-training=ImageNet, Paradigm=Standard PF2026.04 | 66.47 | — | — | — | — | — |