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ResearchFormerly WizWand

Federated Learning Classification

Benchmarks

DatasetSOTA methodMetricTrendResultsLast updated

MNIST FedAvg 0.962 (test)

96.2Accuracy

88

Feb 26, 2026

77.17SRE

30

Mar 20, 2026

97.7Accuracy

20

Feb 26, 2026

CIFAR-100 non-iid delta=0.3

55.27Accuracy

12

Feb 27, 2026

Tiny-ImageNet IID (test)

36.53Accuracy

12

Feb 27, 2026

Tiny-ImageNet non-iid Dirichlet 0.6 (test)

0.361Accuracy

12

Feb 27, 2026

Tiny-ImageNet non-iid Dirichlet 0.3 (test)

35.7Accuracy

12

Feb 27, 2026

CIFAR-100 IID (test)

56.77Accuracy

12

Feb 27, 2026

CIFAR-100 non-iid Dirichlet 0.6 (test)

55.84Accuracy

12

Feb 27, 2026

EMNIST dir(alpha=0.1) (test)

0.063Max r_k(theta)

10

Apr 1, 2026

CIFAR-10 Late Stage (Rounds 21-50)

62.4Average Accuracy (All)

9

Jul 1, 2026

93.2Label Flip Accuracy

7

Feb 26, 2026

CIFAR-10 FedAvg (test)

65.54Accuracy

6

Feb 26, 2026

FEMNIST FedAvg 0.8235 (test)

81.45Accuracy

4

Feb 26, 2026

Purchase FedAvg 0.922 (test)

92.6Accuracy

4

Feb 26, 2026

CIFAR-100 non-iid Dirichlet 0.3 (test)

—

—Accuracy

0

Feb 26, 2026