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Image Classification on Tiny-Imagenet Resnet20 (test)

131Communication RoundsGradMA-S
89372.5656939.5Feb 28, 2023
Updated 8mo ago

Evaluation results

MethodLinks
GradMA-Somega=0.01, S=5, target accuracy=5%, backbone=Resnet202023.02131
GradMAomega=0.01, S=5, target accuracy=5%, backbone=Resnet202023.02146
GradMA-Somega=1.0, S=5, target accuracy=30%, backbone=Resnet202023.02231
GradMAomega=1.0, S=5, target accuracy=30%, backbone=Resnet202023.02231
GradMAomega=1.0, S=10, target accuracy=35%, backbone=Resnet202023.02231
GradMA-Somega=1.0, S=10, target accuracy=35%, backbone=Resnet202023.02251
FedAvgMomega=0.01, S=5, target accuracy=5%, backbone=Resnet202023.02286
FedProxMomega=0.01, S=5, target accuracy=5%, backbone=Resnet202023.02291
MOONMomega=0.01, S=5, target accuracy=5%, backbone=Resnet202023.02291
FedMLBMomega=0.01, S=5, target accuracy=5%, backbone=Resnet202023.02296
Feddynomega=0.01, S=5, target accuracy=5%, backbone=Resnet202023.02371
Feddynomega=1.0, S=5, target accuracy=30%, backbone=Resnet202023.02396
Feddynomega=1.0, S=10, target accuracy=35%, backbone=Resnet202023.02406
FedProxMomega=1.0, S=10, target accuracy=35%, backbone=Resnet202023.02611
MIFAMomega=0.01, S=5, target accuracy=5%, backbone=Resnet202023.02656
FedMLBMomega=1.0, S=5, target accuracy=30%, backbone=Resnet202023.02681
MIFAomega=0.01, S=5, target accuracy=5%, backbone=Resnet202023.02716
FedMLBomega=0.01, S=5, target accuracy=5%, backbone=Resnet202023.02791
FedMLBMomega=1.0, S=10, target accuracy=35%, backbone=Resnet202023.02796
FedMLBomega=1.0, S=5, target accuracy=30%, backbone=Resnet202023.02806
GradMA-Womega=0.01, S=5, target accuracy=5%, backbone=Resnet202023.02821
FedAvgMomega=1.0, S=5, target accuracy=30%, backbone=Resnet202023.02821
FedProxMomega=1.0, S=5, target accuracy=30%, backbone=Resnet202023.02821
MOONMomega=1.0, S=5, target accuracy=30%, backbone=Resnet202023.02821
GradMA-Womega=1.0, S=5, target accuracy=30%, backbone=Resnet202023.02841
MimeLiteomega=1.0, S=5, target accuracy=30%, backbone=Resnet20, communication load=2x per round2023.02871
FedAvgomega=1.0, S=5, target accuracy=30%, backbone=Resnet202023.02906
FedProxomega=1.0, S=5, target accuracy=30%, backbone=Resnet202023.02906
MOONomega=1.0, S=5, target accuracy=30%, backbone=Resnet202023.02906
GradMA-Womega=1.0, S=10, target accuracy=35%, backbone=Resnet202023.02936
MIFAMomega=1.0, S=5, target accuracy=30%, backbone=Resnet202023.02956
FedMLBomega=1.0, S=10, target accuracy=35%, backbone=Resnet202023.02966
Scaffoldomega=0.01, S=5, target accuracy=5%, backbone=Resnet20, communication load=2x per round2023.02971
Scaffoldomega=1.0, S=5, target accuracy=30%, backbone=Resnet20, communication load=2x per round2023.02971
FedAvgomega=0.01, S=5, target accuracy=5%, backbone=Resnet202023.02986
FedProxomega=0.01, S=5, target accuracy=5%, backbone=Resnet202023.02986
MOONomega=0.01, S=5, target accuracy=5%, backbone=Resnet202023.02986
FedAvgMomega=1.0, S=10, target accuracy=35%, backbone=Resnet202023.02991
MOONMomega=1.0, S=10, target accuracy=35%, backbone=Resnet202023.02991
MimeLiteomega=0.01, S=5, target accuracy=5%, backbone=Resnet20, communication load=2x per round2023.021,016
MIFAomega=1.0, S=5, target accuracy=30%, backbone=Resnet202023.021,021
MimeLiteomega=1.0, S=10, target accuracy=35%, backbone=Resnet20, communication load=2x per round2023.021,071
MIFAMomega=1.0, S=10, target accuracy=35%, backbone=Resnet202023.021,076
FedProxomega=1.0, S=10, target accuracy=35%, backbone=Resnet202023.021,091
FedAvgomega=1.0, S=10, target accuracy=35%, backbone=Resnet202023.021,116
MOONomega=1.0, S=10, target accuracy=35%, backbone=Resnet202023.021,116
MIFAomega=1.0, S=10, target accuracy=35%, backbone=Resnet202023.021,151
Scaffoldomega=1.0, S=10, target accuracy=35%, backbone=Resnet20, communication load=2x per round2023.021,181