Image Classification on CIFAR100 Cross-Device (K=100) α = 0.1 benchmark leaderboard · SOTA2 Research

Image Classification on CIFAR100 Cross-Device (K=100) α = 0.1

41.56AccuracyFedU2-SimCLR

Evaluation Results

Method	Links
FedU2-SimCLR2024.03		41.56
L-DAWA-SimCLR2024.03		41.28
FedU2-Simsiam2024.03		38.22
FedX-SimCLR2024.03		38.11
FedU2-BYOL2024.03		38.09
FedSimsiam2024.03		37.33
FedSimCLR2024.03		37.09
FedU2-SimCLR2024.03		36.9
FedU2-BYOL2024.03		36.87
L-DAWA-SimCLR2024.03		36.56
FedU-BYOL2024.03		36.06
FedEMA-BYOL2024.03		35.62
FedU2-Simsiam2024.03		35.59
FedBYOL2024.03		34.9
FedX-SimCLR2024.03		33.96
FedSimCLR2024.03		31.97
FedSimsiam2024.03		31.91
FedEMA-BYOL2024.03		28.4
FedBYOL2024.03		28.27
FedU-BYOL2024.03		28.09
Orchestra2024.03		23.4
FedDecorr-Simsiam2024.03		20.6
Orchestra2024.03		17.91
FedDecorr-Simsiam2024.03		17.09
FedU2-SimCLR2024.03		14.32
L-DAWA-SimCLR2024.03		13.52
FedU2-BYOL2024.03		13.16
FedU2-Simsiam2024.03		13.08
FedSimsiam2024.03		12.58
FedSimCLR2024.03		11.73
FedX-SimCLR2024.03		11.18
FedEMA-BYOL2024.03		10.63
FedU-BYOL2024.03		10.46
FedBYOL2024.03		10.43
Orchestra2024.03		6.96
FedDecorr-Simsiam2024.03		5.36