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Benchmarks
Federated Learning Classification on Tiny-ImageNet non-iid Dirichlet 0.6 (test)
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0.3607
Accuracy
FedDC+MAN
0.239436
0.270918
0.3024
0.333882
Dec 9, 2025
Accuracy
Communication Rounds (Target Acc 28%)
Updated 3d ago
Evaluation Results
Method
Method
Links
Accuracy
Communication Rounds (Target Acc 28%)
FedDC+MAN
Regularizer=MAN
2025.12
0.3607
66
FedSpeed+MAN
Regularizer=MAN
2025.12
0.3549
78
FedSAM+MAN
Regularizer=MAN
2025.12
0.326
87
FedDyn+MAN
Regularizer=MAN
2025.12
0.3244
110
FedASAM+MAN
Regularizer=MAN
2025.12
0.3241
136
FedDC
Regularizer=None
2025.12
0.3142
193
FedSpeed
Regularizer=None
2025.12
0.311
228
FedDyn
Regularizer=None
2025.12
0.2899
308
FedAvg+MAN
Regularizer=MAN
2025.12
0.289
194
FedASAM
Regularizer=None
2025.12
0.2705
500
FedSAM
Regularizer=None
2025.12
0.2604
500
FedAvg
Regularizer=None
2025.12
0.2441
500
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