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SOTA Personalized Federated Learning benchmarks and papers with code | Wizwand
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Personalized Federated Learning
Benchmarks
Dataset Name
SOTA Method
Dataset Name
SOTA Method
Metric
Trend
Results
Last Updated
Task 6
FOCUS
Accuracy
85.3
13
4d ago
Task 5
FOCUS
Accuracy
64.6
13
4d ago
Task 4
FOCUS
Accuracy
62.5
13
4d ago
Task 2
FOCUS
Accuracy
81.3
13
4d ago
Task 1
FOCUS
Accuracy
42.4
13
4d ago
CIFAR10 pathological non-IID (500 clients, 80 samples)
SuPerFed-MM
Top-1 Acc
90.81
11
3d ago
CIFAR10 pathological non-IID (100 clients, 400 samples)
SuPerFed-MM
Top-1 Acc
93.25
11
3d ago
CIFAR10 pathological non-IID (50 clients, 800 samples)
SuPerFed-MM
Top-1 Acc
94.05
11
3d ago
MNIST pathological non-IID (500 clients, 96 samples)
FedPer
Top-1 Acc
0.994
11
3d ago
MNIST pathological non-IID (100 clients, 480 samples)
SuPerFed-MM
Top-1 Acc
99.38
11
3d ago
MNIST pathological non-IID (50 clients, 960 samples)
SuPerFed-LM
Top-1 Acc
99.48
11
3d ago
Tiny-ImageNet Pathological 10
Ditto
Accuracy@40
261
9
2d ago
Tiny-ImageNet Pathological 20
OSGP
Top-30 Accuracy
258
8
2d ago
Tiny-ImageNet Dirichlet 0.1
Ditto
Acc @20
178
8
2d ago
Tiny-ImageNet Dirichlet 0.3
Ditto
Accuracy@14
212
7
2d ago
FEMNIST (test)
Self-FL
Top 10% Most Samples Accuracy
76.24
5
3d ago
Tiny-ImageNet Pathological 20 (test)
-
Top-30 Acc
-
0
3d ago
Tiny-ImageNet Pathological 10 (test)
-
Accuracy @40
-
0
4d ago
Tiny-ImageNet Dirichlet 0.3 (test)
-
Acc@14
-
0
4d ago
Tiny-ImageNet Dirichlet 0.1 (test)
-
Top-20 Acc
-
0
3d ago
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