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ResearchFormerly WizWand

Image Classification on CIFAR-10 (Dirichlet α=0.6)

91.2AccuracyFedMoSWA
79.13682.26885.488.532Jul 26, 2025
Updated 6mo ago

Evaluation results

MethodLinks
FedMoSWABackbone=ResNet-18, Target Accuracy=85%2025.0791.2265
FedACGBackbone=ResNet-18, Target Accuracy=85%2025.0790.3237
FedSWABackbone=ResNet-18, Target Accuracy=85%2025.0789.5538
FedLESAMBackbone=ResNet-18, Target Accuracy=85%2025.0789480
FedASAMBackbone=ResNet-18, Target Accuracy=85%2025.0788.3542
FedMoSWABackbone=VGG-11, Target Accuracy=80%2025.0788.1137
MoFedSAMBackbone=VGG-11, Target Accuracy=80%2025.0787.4345
MoFedSAMBackbone=ResNet-18, Target Accuracy=85%2025.0787569
SCAFFOLDBackbone=VGG-11, Target Accuracy=80%2025.0786.9272
FedSWABackbone=VGG-11, Target Accuracy=80%2025.0786.5169
FedASAMBackbone=VGG-11, Target Accuracy=80%2025.0786.3169
FedAvgBackbone=ResNet-18, Target Accuracy=85%2025.0786542
SCAFFOLDBackbone=ResNet-18, Target Accuracy=85%2025.0785.9543
FedSAMBackbone=VGG-11, Target Accuracy=80%2025.0785.5227
FedDynBackbone=ResNet-18, Target Accuracy=85%2025.0784.61,000
FedACGBackbone=VGG-11, Target Accuracy=80%2025.0784.5249
FedAvgBackbone=VGG-11, Target Accuracy=80%2025.0784313
FedMoSWABackbone=LeNet-5, Target Accuracy=78%2025.0783.8301
FedSAMBackbone=ResNet-18, Target Accuracy=85%2025.0783.61,000
FedLESAMBackbone=VGG-11, Target Accuracy=80%2025.0783.5169
FedDynBackbone=VGG-11, Target Accuracy=80%2025.0783.1557
FedACGBackbone=LeNet-5, Target Accuracy=78%2025.0782.9321
MoFedSAMBackbone=LeNet-5, Target Accuracy=78%2025.0782.5483
FedSWABackbone=LeNet-5, Target Accuracy=78%2025.0781.5591
FedASAMBackbone=LeNet-5, Target Accuracy=78%2025.0781371
FedDynBackbone=LeNet-5, Target Accuracy=78%2025.0780.8390
SCAFFOLDBackbone=LeNet-5, Target Accuracy=78%2025.0780.7799
FedSAMBackbone=LeNet-5, Target Accuracy=78%2025.0779.9821
FedLESAMBackbone=LeNet-5, Target Accuracy=78%2025.0779.7496
FedAvgBackbone=LeNet-5, Target Accuracy=78%2025.0779.6574