Image Classification on CIFAR100 Cross-Silo (K=10) α = 0.1 benchmark leaderboard · SOTA2 Research

Image Classification on CIFAR100 Cross-Silo (K=10) α = 0.1

59.71AccuracyFedU2-BYOL

Evaluation Results

Method	Links
FedU2-BYOL2024.03		59.71
FedU-BYOL2024.03		58.02
FedEMA-BYOL2024.03		57.25
FedU2-SimCLR2024.03		56.56
FedU2-Simsiam2024.03		56.55
FedU2-BYOL2024.03		53.87
FedX-SimCLR2024.03		51.67
FedSimCLR2024.03		51.62
Orchestra2024.03		51.31
L-DAWA-SimCLR2024.03		51.11
FedEMA-BYOL2024.03		50.33
FedSimsiam2024.03		49.81
Orchestra2024.03		48.85
FedBYOL2024.03		48.78
FedU2-Simsiam2024.03		48.75
FedU-BYOL2024.03		48.12
FedU2-SimCLR2024.03		47.99
FedDecorr-Simsiam2024.03		47.93
FedDecorr-Simsiam2024.03		45.21
L-DAWA-SimCLR2024.03		45.02
FedSimsiam2024.03		43.08
FedBYOL2024.03		42.82
FedX-SimCLR2024.03		42.38
FedSimCLR2024.03		41.6
FedU2-BYOL2024.03		34.83
FedU2-Simsiam2024.03		31.42
FedEMA-BYOL2024.03		30.03
FedU-BYOL2024.03		28.38
Orchestra2024.03		26.36
FedU2-SimCLR2024.03		26.11
FedSimsiam2024.03		21.64
L-DAWA-SimCLR2024.03		21.07
FedDecorr-Simsiam2024.03		20.53
FedBYOL2024.03		19.79
FedX-SimCLR2024.03		19.65
FedSimCLR2024.03		19.47