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ResearchFormerly WizWand

Image Classification on ImageNet-1K 64x64

41.6Top-1 AccuracyStandard
-1.3529.79920.9532.101Jun 1, 2022Jul 30, 2022Sep 28, 2022Nov 27, 2022Jan 26, 2023Mar 27, 2023May 26, 2023
Updated 8mo ago

Evaluation results

MethodLinks
StandardBackbone=ResNet56, SFD/FedRolex ratio=1.0, Training rounds=40002023.0541.6
SLTBackbone=ResNet56, SFD/FedRolex ratio=0.5, Training rounds=40002023.0534.6
SLTBackbone=ResNet56, SFD/FedRolex ratio=0.25, Training rounds=40002023.0531.2
Small modelBackbone=ResNet56, SFD/FedRolex ratio=0.5, Training rounds=40002023.0530.3
SLTBackbone=ResNet56, SFD/FedRolex ratio=0.125, Training rounds=40002023.0524.2
FedRolexBackbone=ResNet56, SFD/FedRolex ratio=0.5, Training rounds=40002023.0521.3
Full Dataset2022.0619.8
Small modelBackbone=ResNet56, SFD/FedRolex ratio=0.25, Training rounds=40002023.0518.4
FDBackbone=ResNet56, SFD/FedRolex ratio=0.5, Training rounds=40002023.0516.8
FedRolexBackbone=ResNet56, SFD/FedRolex ratio=0.25, Training rounds=40002023.0511.4
FRePoImg/Cls=22022.069.7
FRePoImg/Cls=22022.069.7
Small modelBackbone=ResNet56, SFD/FedRolex ratio=0.125, Training rounds=40002023.058.9
FRePoImg/Cls=12022.067.5
FRePoImg/Cls=12022.067.5
FDBackbone=ResNet56, SFD/FedRolex ratio=0.25, Training rounds=40002023.056.2
FedRolexBackbone=ResNet56, SFD/FedRolex ratio=0.125, Training rounds=40002023.053.4
Random SubsetImg/Cls=22022.061.4
Random SubsetImg/Cls=22022.061.4
Random SubsetImg/Cls=12022.061.1
Random SubsetImg/Cls=12022.061.1
FDBackbone=ResNet56, SFD/FedRolex ratio=0.125, Training rounds=40002023.050.3