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ResearchFormerly WizWand

Federated Continual Learning on ImageNet-R 5-split

55.65AccuracyFedProTIP
5.324418.389731.45544.5203Sep 25, 2025
Updated 4mo ago

Evaluation results

MethodLinks
FedProTIPDistribution=IID2025.0955.653.36
FedProTIPDistribution=alpha=0.52025.0954.496.03
FedProTIP (-t)Distribution=IID2025.09506.26
FedProTIP (-t)Distribution=alpha=0.52025.0946.998.03
TARGETDistribution=IID2025.0940.9514.43
FOTDistribution=IID2025.0939.7713.43
FOTDistribution=alpha=0.52025.0938.5813.24
TARGETDistribution=alpha=0.52025.0937.7114.89
LANDERDistribution=alpha=0.52025.0936.831.46
LANDERDistribution=IID2025.0935.51.45
FedAvgDistribution=IID2025.0922.737.11
FedAvgDistribution=alpha=0.52025.0922.2236.26
LGADistribution=IID2025.098.3321.13
GLFCDistribution=alpha=0.52025.097.4717.12
LGADistribution=alpha=0.52025.097.3819.91
GLFCDistribution=IID2025.097.2616.99