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Benchmarks
Image Classification on Tiny-ImageNet (Acc, Avg. Class.)
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47.3
Accuracy
TAP
14.1552
22.7601
31.365
39.9699
Sep 30, 2025
Accuracy
Average Class Accuracy
Updated 23d ago
Evaluation Results
Method
Method
Links
Accuracy
Average Class Accuracy
TAP
Model=FLAVA
2025.09
47.3
52.07
DisentAFL + Post-train
Model=FLAVA
2025.09
46.62
25.48
FedAvg + Post-train
Model=FLAVA
2025.09
41.51
47.86
Per-FedAvg + Post-train
Model=FLAVA
2025.09
40.6
46.87
DisentAFL
Model=FLAVA
2025.09
38.29
19.68
FedAvg
Model=FLAVA
2025.09
30.66
38.43
Local
Model=FLAVA
2025.09
25.35
28.68
FedDAT + Post-train
Model=FLAVA
2025.09
25.22
32.22
Per-FedAvg
Model=FLAVA
2025.09
24.97
32.75
FedDAT
Model=FLAVA
2025.09
15.43
22.83
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