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Image Classification on Tiny-Imagenet (Alpha-Weighted Accuracy)

30.85Accuracy (alpha=0.1)Ensemble
2.01089.497916.98524.4721Oct 27, 2024

Evaluation results

MethodLinks
EnsembleCommunication rounds=12024.1030.8539.4345.8
FuseFLK (number of splitted blocks)=2, Communication rounds=22024.1029.2831.1134.34
FuseFLK (number of splitted blocks)=4, Communication rounds=42024.1027.6333.0434.28
FuseFLK (number of splitted blocks)=8, Communication rounds=82024.1025.2132.5933.82
DENSECommunication rounds=12024.1022.4428.1432.34
Fed-ADICommunication rounds=12024.1019.5925.3430.21
Fed-DAFLCommunication rounds=12024.1018.3822.1828.22
FedDFCommunication rounds=12024.1015.3418.2227.43
FedAvgCommunication rounds=12024.103.1210.4611.89