Image Classification on CIFAR10 Cross-Device (K=100) α = 0.1 benchmark leaderboard · SOTA2 Research

Image Classification on CIFAR10 Cross-Device (K=100) α = 0.1

75.33AccuracyFedU2-Simsiam

Evaluation Results

Method	Links
FedU2-Simsiam2024.03		75.33
FedU2-BYOL2024.03		74.93
FedEMA-BYOL2024.03		74.76
FedU-BYOL2024.03		74.62
FedBYOL2024.03		74.01
FedU2-SimCLR2024.03		70.76
FedSimsiam2024.03		70.46
FedX-SimCLR2024.03		70.18
L-DAWA-SimCLR2024.03		69.89
FedU2-Simsiam2024.03		68.5
FedSimCLR2024.03		68.33
FedU2-BYOL2024.03		67.62
FedX-SimCLR2024.03		67.33
FedU2-SimCLR2024.03		66.49
FedSimCLR2024.03		65.76
L-DAWA-SimCLR2024.03		65.63
Orchestra2024.03		62.97
FedEMA-BYOL2024.03		62.27
FedBYOL2024.03		61.46
FedSimsiam2024.03		60.49
FedU-BYOL2024.03		60.15
FedDecorr-Simsiam2024.03		58.68
FedU2-Simsiam2024.03		56.43
FedEMA-BYOL2024.03		54.91
FedU2-BYOL2024.03		54.74
FedBYOL2024.03		54.36
FedU-BYOL2024.03		53.53
FedU2-SimCLR2024.03		51.77
FedSimCLR2024.03		51.18
FedX-SimCLR2024.03		49.96
L-DAWA-SimCLR2024.03		49.66
FedSimsiam2024.03		44.45
FedDecorr-Simsiam2024.03		43.18
Orchestra2024.03		41.62
Orchestra2024.03		38.66
FedDecorr-Simsiam2024.03		35.15