List your company
ResearchFormerly WizWand

Image Classification on Fashion-MNIST (Accuracy (%))

100AccuracyLocal
87.2690.567593.87597.1825Oct 22, 2021Jul 29, 2022May 6, 2023Feb 10, 2024Nov 17, 2024Aug 24, 2025Jun 1, 2026
Updated 4mo ago

Evaluation results

MethodLinks
LocalK=102026.03100
IFCAK=102026.03100
DACK=102026.03100
OracleK=102026.03100
CondK=102026.03100
DittoK=102026.0399.9
CondK=52026.0396.4
OracleK=52026.0396.2
KViT-B# Parameters=85,115,926, FLOPs=2.89G2026.0296.1
ViT-B# Parameters=85,115,914, FLOPs=4.30G2026.0295.74
DACK=52026.0395
TCJA-SNNArchitecture=TCJA-7B2026.0394.8
KViT-S# Parameters=21,324,310, FLOPs=0.73G2026.0294.71
KViT-T# Parameters=5,353,750, FLOPs=0.19G2026.0294.65
LocalK=52026.0394.5
IFCAK=52026.0394.5
OracleK=32026.0394.5
CentralizedDevices=Server, Clients=5, Rounds=1002026.0694.5
CondK=32026.0394.2
ViT-S# Parameters=21,324,298, FLOPs=1.09G2026.0294.11
OracleK=22026.0393.7
CondK=22026.0393.6
ViT-T# Parameters=5,353,738, FLOPs=0.28G2026.0293.47
DittoK=52026.0393.3
IFCAK=32026.0393.2
DACK=32026.0393.1
QSplitFLDevices=All, Clients=5, Rounds=1002026.0692.62
IFCAK=22026.0392.2
DACK=22026.0392.2
CADBackbone=ResNet18, Optimizer=SGD, Learning rate=0.01, Weight decay=0.001, Momentum=0.9, Epochs=500, Batch size=642026.0392.14
LocalK=32026.0392
CAD-CAMBackbone=ResNet18, Optimizer=SGD, Learning rate=0.01, Weight decay=0.001, Momentum=0.9, Epochs=500, Batch size=642026.0391.64
DittoK=32026.0391.5
DIRKBackbone=ResNet18, Optimizer=SGD, Learning rate=0.01, Weight decay=0.001, Momentum=0.9, Epochs=500, Batch size=642026.0391.48
DittoK=22026.0391
MP-FedKDNumber of clients=102026.0390.97
LocalK=22026.0390.8
MF Gong et al.Negatives=implicit2026.0490.51
FedAvgK=22026.0390.2
FedProxDevices=High-end, Clients=5, Rounds=1002026.0690.1
HFF-MLPNegatives=implicit2026.0489.96
GossipK=32026.0389.9
ABLEBackbone=ResNet18, Optimizer=SGD, Learning rate=0.01, Weight decay=0.001, Momentum=0.9, Epochs=500, Batch size=642026.0389.81
FFCL Karkehabadi et al.Negatives=explicit2026.0489.71
MP-FedKDNumber of clients=202026.0389.65
MLP (Backprop baseline)Negatives=implicit2026.0489.63
GossipK=22026.0389.5
FedAvgDevices=High-end, Clients=5, Rounds=1002026.0689.2
ClusterSFLDevices=All (IoT), Clients=5, Rounds=1002026.0689.2
HCDVTraining strategy=Training on top 30% valued points2025.1289.1
GLSNN2026.0189.1
MOONNumber of clients=102026.0388.92
FedAvgK=32026.0388.6
TACArchitecture=Conv, 2 layers, Hardware=M3 Max, K=82026.0388.5
q-FedAvgDevices=High-end, Clients=5, Rounds=1002026.0688.5
Layer Collab Lorberbom et al.Negatives=explicit2026.0488.4
snnTorch BaselineArchitecture=Conv, 2 layers, Hardware=V1002026.0388.11
S4NNArchitecture=784–1000–10, Coding scheme=Single-Spike, Multiplication-Free=false2026.0488
MCDSTraining strategy=Training on top 30% valued points2025.1287.9
Trim-meanAttack=GA, Number of malicious nodes (nm)=5, Epoch=252021.1087.85
MANDERAAttack=SF, Number of malicious nodes (nm)=5, Epoch=252021.1087.85
MANDERAAttack=ZG, Number of malicious nodes (nm)=15, Epoch=252021.1087.84
MANDERAAttack=GA, Number of malicious nodes (nm)=10, Epoch=252021.1087.83
MANDERAAttack=GA, Number of malicious nodes (nm)=15, Epoch=252021.1087.82
MANDERAAttack=SF, Number of malicious nodes (nm)=15, Epoch=252021.1087.82
KrumAttack=MS, Number of malicious nodes (nm)=5, Epoch=252021.1087.82
MANDERAAttack=GA, Number of malicious nodes (nm)=5, Epoch=252021.1087.81
MANDERAAttack=ZG, Number of malicious nodes (nm)=10, Epoch=252021.1087.81
Trim-meanAttack=MS, Number of malicious nodes (nm)=5, Epoch=252021.1087.81
BulyanAttack=MS, Number of malicious nodes (nm)=5, Epoch=252021.1087.81
MANDERAAttack=MS, Number of malicious nodes (nm)=5, Epoch=252021.1087.81
BulyanAttack=GA, Number of malicious nodes (nm)=5, Epoch=252021.1087.8
BulyanAttack=GA, Number of malicious nodes (nm)=10, Epoch=252021.1087.8
MANDERAAttack=GA, Number of malicious nodes (nm)=25, Epoch=252021.1087.8
BulyanAttack=GA, Number of malicious nodes (nm)=15, Epoch=252021.1087.79
MANDERAAttack=ZG, Number of malicious nodes (nm)=5, Epoch=252021.1087.79
MANDERAAttack=SF, Number of malicious nodes (nm)=10, Epoch=252021.1087.79
MANDERAAttack=SF, Number of malicious nodes (nm)=20, Epoch=252021.1087.79
Trim-meanAttack=MS, Number of malicious nodes (nm)=10, Epoch=252021.1087.79
MANDERAAttack=MS, Number of malicious nodes (nm)=20, Epoch=252021.1087.79
MANDERAAttack=MS, Number of malicious nodes (nm)=30, Epoch=252021.1087.79
CELBackbone=ResNet18, Optimizer=SGD, Learning rate=0.01, Weight decay=0.001, Momentum=0.9, Epochs=500, Batch size=642026.0387.78
Trim-meanAttack=GA, Number of malicious nodes (nm)=10, Epoch=252021.1087.78
MANDERAAttack=ZG, Number of malicious nodes (nm)=30, Epoch=252021.1087.78
MedianAttack=MS, Number of malicious nodes (nm)=10, Epoch=252021.1087.78
BulyanAttack=MS, Number of malicious nodes (nm)=10, Epoch=252021.1087.78
MANDERAAttack=MS, Number of malicious nodes (nm)=10, Epoch=252021.1087.78
FLTrustAttack=MS, Number of malicious nodes (nm)=15, Epoch=252021.1087.78
MANDERAAttack=MS, Number of malicious nodes (nm)=15, Epoch=252021.1087.78
MANDERAAttack=GA, Number of malicious nodes (nm)=20, Epoch=252021.1087.77
MANDERAAttack=SF, Number of malicious nodes (nm)=25, Epoch=252021.1087.77
FLTrustAttack=MS, Number of malicious nodes (nm)=5, Epoch=252021.1087.77
KrumAttack=MS, Number of malicious nodes (nm)=10, Epoch=252021.1087.77
FLTrustAttack=MS, Number of malicious nodes (nm)=20, Epoch=252021.1087.77
MedianAttack=GA, Number of malicious nodes (nm)=10, Epoch=252021.1087.76
MANDERAAttack=GA, Number of malicious nodes (nm)=30, Epoch=252021.1087.76
MANDERAAttack=ZG, Number of malicious nodes (nm)=25, Epoch=252021.1087.76
Trim-meanAttack=MS, Number of malicious nodes (nm)=15, Epoch=252021.1087.76
Trim-meanAttack=GA, Number of malicious nodes (nm)=15, Epoch=252021.1087.75
MedianAttack=MS, Number of malicious nodes (nm)=5, Epoch=252021.1087.75