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ResearchFormerly WizWand

Image Classification on CIFAR-100 (test) (Test Accuracy)

49.36Test AccuracySpecGradFilter
39.105641.767844.4347.0922Jul 5, 2026
Updated 3mo ago

Evaluation results

MethodLinks
SpecGradFilteralpha=100, Backbone=ResNet-20, Clients=100, Client Participation Rate=0.1, Communication Rounds=3002026.0749.36
FedDynalpha=100, Backbone=ResNet-20, Clients=100, Client Participation Rate=0.1, Communication Rounds=3002026.0746.45
FedCMalpha=100, Backbone=ResNet-20, Clients=100, Client Participation Rate=0.1, Communication Rounds=3002026.0743.86
SCAFFOLDalpha=100, Backbone=ResNet-20, Clients=100, Client Participation Rate=0.1, Communication Rounds=3002026.0743.31
FedAvgalpha=100, Backbone=ResNet-20, Clients=100, Client Participation Rate=0.1, Communication Rounds=3002026.0740.9
FedProxalpha=100, Backbone=ResNet-20, Clients=100, Client Participation Rate=0.1, Communication Rounds=3002026.0740.56
FedAWAalpha=100, Backbone=ResNet-20, Clients=100, Client Participation Rate=0.1, Communication Rounds=3002026.0740.32
FedDiscoalpha=100, Backbone=ResNet-20, Clients=100, Client Participation Rate=0.1, Communication Rounds=3002026.0740
FedLWSalpha=100, Backbone=ResNet-20, Clients=100, Client Participation Rate=0.1, Communication Rounds=3002026.0739.73
FedSAMalpha=100, Backbone=ResNet-20, Clients=100, Client Participation Rate=0.1, Communication Rounds=3002026.0739.5