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Personalized Federated Learning research benchmarks – Page 2 · SOTA2 Research

Personalized Federated Learning

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

Tiny-ImageNet Pathological 20

258Top-30 Accuracy

8

Feb 27, 2026

Tiny-ImageNet Dirichlet 0.1

178Acc @20

8

Feb 27, 2026

Tiny-ImageNet Dirichlet 0.3

212Accuracy@14

7

Feb 27, 2026

76.24Top 10% Most Samples Accuracy

5

Feb 26, 2026

Tiny-ImageNet Pathological 20 (test)

—

—Top-30 Acc

0

Feb 26, 2026

Tiny-ImageNet Pathological 10 (test)

—

—Accuracy @40

0

Feb 26, 2026

Tiny-ImageNet Dirichlet 0.3 (test)

—

—Acc@14

0

Feb 26, 2026

Tiny-ImageNet Dirichlet 0.1 (test)

—

—Top-20 Acc

0

Feb 26, 2026

Page 2 of 2

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DRAKE Tiny-ImageNet CIFAR ImageNet MNIST

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