List your company

Image Classification on CIFAR-10 (0.1-Dirichlet, test)

66.34Generalized Accuracy (Accg)FedCCFA
36.928844.564452.259.8356Nov 28, 2022Mar 24, 2023Jul 18, 2023Nov 11, 2023Mar 6, 2024Jun 30, 2024Oct 24, 2024

Evaluation results

MethodLinks
FedCCFANumber of clients=100, Sample ratio=20%2024.1066.34———————
FlowBackbone=ResNet182022.1166.26—76.47—————
FedCCFANumber of clients=20, Sample ratio=100%2024.1065.23———————
FEDREPBackbone=ResNet182022.1164.85—68.62—————
HYPCLUSTERBackbone=ResNet182022.1163.64—71.55—————
APFLBackbone=ResNet182022.1162.87—72.86—————
PARTIALFEDBackbone=ResNet18, variant=adaptive2022.1162.57—73.2—————
DITTOBackbone=ResNet182022.1162.06—72.06—————
FEDAVGFTBackbone=ResNet182022.1161.23—73.03—————
FEDAVGBackbone=ResNet182022.1160.98———————
KNNPERBackbone=ResNet182022.1159.62—75.14—————
LGFEDAVGBackbone=ResNet182022.1156.63—73.19—————
DittoNumber of clients=20, Sample ratio=100%2024.1055.99———————
AdapFedAvgNumber of clients=20, Sample ratio=100%2024.1055.11———————
FedFMNumber of clients=20, Sample ratio=100%2024.1055.04———————
FedProxNumber of clients=20, Sample ratio=100%2024.1055.03———————
FedAvgNumber of clients=20, Sample ratio=100%2024.1054.87———————
FlashNumber of clients=20, Sample ratio=100%2024.1054.44———————
FlashNumber of clients=100, Sample ratio=20%2024.1054.2———————
FedAvgNumber of clients=100, Sample ratio=20%2024.1053.71———————
FedProxNumber of clients=100, Sample ratio=20%2024.1053.57———————
FedFMNumber of clients=100, Sample ratio=20%2024.1053.01———————
AdapFedAvgNumber of clients=100, Sample ratio=20%2024.1052.58———————
DittoNumber of clients=100, Sample ratio=20%2024.1052.39———————
IFCANumber of clients=100, Sample ratio=20%2024.1050.34———————
FedPACNumber of clients=100, Sample ratio=20%2024.1050.1———————
SCAFFOLDNumber of clients=20, Sample ratio=100%2024.1048.25———————
FedDriftNumber of clients=100, Sample ratio=20%2024.1046.85———————
FedBABUNumber of clients=100, Sample ratio=20%2024.1046.51———————
FedRepNumber of clients=100, Sample ratio=20%2024.1045.81———————
pFedMeNumber of clients=20, Sample ratio=100%2024.1044.54———————
FedRepNumber of clients=20, Sample ratio=100%2024.1043.99———————
IFCANumber of clients=20, Sample ratio=100%2024.1043.7———————
pFedMeNumber of clients=100, Sample ratio=20%2024.1041.94———————
FedPACNumber of clients=20, Sample ratio=100%2024.1041.35———————
SCAFFOLDNumber of clients=100, Sample ratio=20%2024.1041.1———————
FedBABUNumber of clients=20, Sample ratio=100%2024.1039.12———————
FedDriftNumber of clients=20, Sample ratio=100%2024.1038.06———————
APFL2022.11—87.48——————
APFL2022.11—87.48——————
DittoParticipation rate=20%, Number of clients=100, Drift setting=no drift2024.10——78.84—————
DITTO2022.11—90.52——————
DITTO2022.11—90.52——————
FedAvg2026.02———75.2——603.8
FedAvgDistribution=Dir-0.12026.02———75.2————
FedAvg2026.03———55.6————
FedAvgFT2026.03———91.87————
FEDAVGFT2022.11—97.18——————
FEDAVGFT2022.11—97.18——————
FedAvgM2026.02———78.3——483.8
FedAvgMDistribution=Dir-0.12026.02———78.3————
FedBABUParticipation rate=20%, Number of clients=100, Drift setting=no drift2024.10——74.46—————
FedCCFAParticipation rate=20%, Number of clients=100, Drift setting=no drift, Fine-tuning=false2024.10——71.99—————
FedCCFA-FTParticipation rate=20%, Number of clients=100, Drift setting=no drift, Fine-tuning=5 epochs, Fine-tuning learning rate=0.012024.10——80.52—————
FedDF2026.02———79——420.09
FedDFDistribution=Dir-0.12026.02———79————
FedEMA-DistillDistribution=Dir-0.12026.02———80.4————
FedEMA–Distill2026.02———80.4——400.09
FedPACParticipation rate=20%, Number of clients=100, Drift setting=no drift2024.10——80.24—————
FedPAC2026.03———92.08————
FedProx2026.02———77.5——553.8
FedProxDistribution=Dir-0.12026.02———77.5————
FedRepParticipation rate=20%, Number of clients=100, Drift setting=no drift2024.10——74.26—————
FEDREP2022.11—92.3——————
FEDREP2022.11—92.3——————
FLEX-MoEIndicator=Acc-driven, Client count (C)=20, Expert count (E)=8, kc=[2, 6]2025.12———67.60.002413,188——
FLEX-MoEIndicator=Loss-driven, Client count (C)=20, Expert count (E)=8, kc=[2, 6]2025.12———55.750.00313,972——
Flow2022.11—98.33——————
Flow2022.11—98.33——————
GreedyIndicator=Acc-driven, Client count (C)=20, Expert count (E)=8, kc=[2, 6]2025.12———52.280.18551,111,136——
GreedyIndicator=Loss-driven, Client count (C)=20, Expert count (E)=8, kc=[2, 6]2025.12———46.170.1417966,123——
HYPCLUSTER2022.11—95.11——————
HYPCLUSTER2022.11—95.11——————
KNNPER2022.11—90——————
KNNPER2022.11—90——————
LGFEDAVG2022.11—88.41——————
LGFEDAVG2022.11—88.41——————
Local2026.03———90.28————
LOCALBackbone=ResNet182022.11——49.78—————
PARTIALFEDType=Adaptive2022.11—88.3——————
PARTIALFED2022.11—88.3——————
pFedFDA2026.03———91.84————
pFedGM2026.03———92.48————
pFedMeParticipation rate=20%, Number of clients=100, Drift setting=no drift2024.10——65.94—————
RandomIndicator=N/A, Client count (C)=20, Expert count (E)=8, kc=[2, 6]2025.12———23.420.0334226,800——
SCAFFOLD2026.02———77.9——513.8
SCAFFOLDDistribution=Dir-0.12026.02———77.9————