List your company

Image Classification on CIFAR-10 Global (test)

76.77AccuracyPERADA
27.567640.341353.11565.8887Feb 13, 2023

Evaluation results

MethodLinks
PERADAAlgorithm Type=pFL, Trained Params=Adapter, Evaluation Protocol=Global Model, Knowledge Distillation=True2023.0276.77
FEDDF (w/ KD)Algorithm Type=generic FL, Trained Params=Full, Evaluation Protocol=Global Model, Knowledge Distillation=True2023.0274.83
PERADA W/o KDAlgorithm Type=pFL, Trained Params=Adapter, Evaluation Protocol=Global Model, Knowledge Distillation=False2023.0274.22
FEDDYNAlgorithm Type=generic FL, Trained Params=Full, Evaluation Protocol=Global Model2023.0270.36
DITTOAlgorithm Type=pFL, Trained Params=Full, Evaluation Protocol=Global Model2023.0269.95
APFLAlgorithm Type=pFL, Trained Params=Full, Evaluation Protocol=Global Model2023.0269.79
FEDPROXAlgorithm Type=generic FL, Trained Params=Full, Evaluation Protocol=Global Model2023.0269.64
FEDAVGAlgorithm Type=generic FL, Trained Params=Full, Evaluation Protocol=Global Model2023.0269.34
PFEDMEAlgorithm Type=pFL, Trained Params=Full, Evaluation Protocol=Global Model2023.0268.25
PERADAPersonalized Params=Adapter2023.0259.05
DITTOPersonalized Params=Full model2023.0253.82
PERADA W/o KDPersonalized Params=Adapter2023.0253.81
PFEDMEPersonalized Params=Full model2023.0245.06
FEDAVG+FTPersonalized Params=Full model2023.0243.99
APFLPersonalized Params=Full model2023.0243.92
FEDBNPersonalized Params=Batch norm.2023.0243.18
FEDSIM (Output layer)Personalized Params=Output layer2023.0241.98
FEDALT (Output layer)Personalized Params=Output layer2023.0240.68
FEDREPPersonalized Params=Output layer2023.0235.19
FEDSIM (Input layer)Personalized Params=Input layer2023.0233.07
FEDALT (Input layer)Personalized Params=Input layer2023.0232.23
FEDSIM (Adapter)Personalized Params=Adapter2023.0231.97
FEDALT (Adapter)Personalized Params=Adapter2023.0231.51
LG-FEDAVGPersonalized Params=Feat. extractor2023.0229.96
STANDALONEPersonalized Params=Full model2023.0229.77
MTLPersonalized Params=Full model2023.0229.46