Image Classification on CIFAR10 Cross-Silo (K=10) α = 0.1 benchmark leaderboard · SOTA2 Research

Image Classification on CIFAR10 Cross-Silo (K=10) α = 0.1

86.24AccuracyFedU2-BYOL

Evaluation Results

Method	Links
FedU2-BYOL2024.03		86.24
FedU2-BYOL2024.03		85.58
Orchestra2024.03		85.4
FedU2-Simsiam2024.03		85.21
FedU2-Simsiam2024.03		84.92
FedEMA-BYOL2024.03		83.78
Orchestra2024.03		83.53
FedU-BYOL2024.03		83.37
FedBYOL2024.03		83.29
FedU2-SimCLR2024.03		82.39
FedU2-SimCLR2024.03		82.37
FedU-BYOL2024.03		82.33
FedEMA-BYOL2024.03		82.17
FedBYOL2024.03		81.4
FedDecorr-Simsiam2024.03		80.1
FedX-SimCLR2024.03		79.43
L-DAWA-SimCLR2024.03		78.66
FedU2-BYOL2024.03		78.64
Orchestra2024.03		78.44
FedX-SimCLR2024.03		78.29
FedU2-Simsiam2024.03		77.11
FedSimCLR2024.03		76.15
FedSimCLR2024.03		75.65
L-DAWA-SimCLR2024.03		75.48
FedDecorr-Simsiam2024.03		74.56
FedBYOL2024.03		74.04
FedEMA-BYOL2024.03		71.37
FedSimsiam2024.03		70.61
FedSimsiam2024.03		69.88
FedU2-SimCLR2024.03		69.84
FedU-BYOL2024.03		69.24
FedDecorr-Simsiam2024.03		65.21
FedX-SimCLR2024.03		65.03
L-DAWA-SimCLR2024.03		63.4
FedSimCLR2024.03		62.86
FedSimsiam2024.03		57.6