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Image Classification on CIFAR-10 non-IID s=2

91.82Test Accuracy

CD²-pFed

Updated 5d ago

Evaluation Results

Method	Links
CD²-pFed 2022.04		91.82
LG-Fed 2022.04		91.77
Ensemble 2025.06		89.1
Local Train 2022.04		87.92
KF-Linear Conductance 2025.06		86.6
KF-Linear DeepLIFT 2025.06		86.5
HF-Linear Conductance 2025.06		86.4
HF-Linear DeepLIFT 2025.06		86.3
LP 2025.06		85.5
KF-Linear Uniform 2025.06		85.5
HF-Gradient DeepLIFT 2025.06		84.9
KF-Gradient Conductance 2025.06		84.9
HF-Gradient Conductance 2025.06		84.8
KF-Gradient DeepLIFT 2025.06		84.7
KF-Gradient Uniform 2025.06		84.3
Individual Models 2025.06		83.8
FedPer 2022.04		83.29
HF-Linear Uniform 2025.06		76.7
Git Re-Basin DeepLIFT 2025.06		76.6
HF-Gradient Uniform 2025.06		76.3
Git Re-Basin Conductance 2025.06		73.8
CD²-pFed 2022.04		61.31
LG-Fed 2022.04		60.79
FedAvg 2022.04		58.99
FedAvg 2022.04		58.99
FedPer 2022.04		57.77
Git Re-Basin Uniform 2025.06		55.7
OTF Uniform 2025.06		49.6
OTF Conductance 2025.06		40.6
OTF DeepLIFT 2025.06		39.4
KD 2025.06		38.4
Vanilla Averaging 2025.06		11.5
Local Train 2022.04		10.03