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Image Classification on CIFAR-100 ID (test)

81.66AccuracySURE+
13.872831.471449.0766.6686Nov 30, 2024Feb 14, 2025May 2, 2025Jul 17, 2025Oct 2, 2025Dec 17, 2025Mar 4, 2026

Evaluation results

MethodLinks
SURE+Training strategy=RegPixMix (SURE+), Backbone=ResNet-182026.0381.66
SURETraining strategy=SURE, Backbone=ResNet-182026.0380.55
RegMixupTraining strategy=RegMixup, Backbone=ResNet-182026.0379.35
MixupTraining strategy=Mixup, Backbone=ResNet-182026.0378.47
BasicTraining strategy=Basic, Backbone=ResNet-182026.0377.32
FedGRNoise Type=Clean, phi=0.0, U(rho_min, rho_max)=0.0-0.02024.1172.03
FedCorrNoise Type=Clean, phi=0.02024.1171.24
FedGRNoise Type=Asym, phi=0.6, U(rho_min, rho_max)=0.2-0.42024.1169.48
FedGRNoise Type=Mixed, phi=0.6, U(rho_min, rho_max)=0.2-0.42024.1169.21
FedDivNoise Type=Mixed, phi=0.62024.1167.12
FedAvgNoise Type=Clean, phi=0.0, U(rho_min, rho_max)=0.0-0.02024.1165.17
FedGRNoise Type=Mixed, phi=1.0, U(rho_min, rho_max)=0.2-0.42024.1165.15
FedGRNoise Type=Asym, phi=1.0, U(rho_min, rho_max)=0.2-0.42024.1164.12
FedGRNoise Type=Sym, phi=0.6, U(rho_min, rho_max)=0.5-1.02024.1164.01
FedGRMetric Scope=Avg2024.1162.83
FedProxNoise Type=Clean, phi=0.02024.1157.24
FedAvgNoise Type=Asym, phi=0.6, U(rho_min, rho_max)=0.2-0.42024.1155.79
FedAvgNoise Type=Mixed, phi=0.6, U(rho_min, rho_max)=0.2-0.42024.1153.17
FedFixerNoise Type=Mixed, phi=1.02024.1147.2
FedAvgNoise Type=Asym, phi=1.0, U(rho_min, rho_max)=0.2-0.42024.1146.03
FedAvgMetric Scope=Avg2024.1145.48
FedAvgNoise Type=Mixed, phi=1.0, U(rho_min, rho_max)=0.2-0.42024.1144.12
FL-CoteachingNoise Type=Sym, phi=0.62024.1142.87
FedAvgNoise Type=Sym, phi=0.6, U(rho_min, rho_max)=0.5-1.02024.1137.57
FL-DivideMixNoise Type=Sym, phi=1.02024.1136.3
FedNoRoNoise Type=Asym, phi=0.62024.1135.95
FedGRNoise Type=Sym, phi=1.0, U(rho_min, rho_max)=0.5-1.02024.1135.82
FedAvgNoise Type=Sym, phi=1.0, U(rho_min, rho_max)=0.5-1.02024.1116.48