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ResearchFormerly WizWand

Federated Continual Learning on DomainNet (6-split evaluation)

29.64Accuracy (ACC)FedProTIP (-t)
9.765614.925320.08525.2447Sep 25, 2025
Updated 4mo ago

Evaluation results

MethodLinks
FedProTIP (-t)Data distribution setting=IID2025.0929.646.38
FedProTIP (-t)Data distribution setting=α = 0.52025.0928.856.43
FedProTIP (-t)Data distribution setting=α = 0.22025.0928.746.14
FedProTIPData distribution setting=IID2025.0927.62.89
FedProTIPData distribution setting=α = 0.22025.0925.982.88
FedProTIPData distribution setting=α = 0.52025.0925.33.76
FOTData distribution setting=IID2025.0924.598.85
FOTData distribution setting=α = 0.52025.0924.138.44
FOTData distribution setting=α = 0.22025.0923.848.33
LANDERData distribution setting=α = 0.22025.0922.118.59
LANDERData distribution setting=IID2025.0921.888.9
LANDERData distribution setting=α = 0.52025.0921.5910.27
TARGETData distribution setting=IID2025.0921.539.73
TARGETData distribution setting=α = 0.22025.0920.648.31
TARGETData distribution setting=α = 0.52025.0920.617.89
FedAvgData distribution setting=IID2025.0910.7927.74
FedAvgData distribution setting=α = 0.52025.0910.7225.66
FedAvgData distribution setting=α = 0.22025.0910.5325.57