Personalized Federated Learning

Benchmarks

Dataset Name	SOTA Method	Metric
DRAKE dynamic (Others)	FedMosaic	Alast52.56	40	1mo ago
DRAKE dynamic (Self)	FedMosaic	Alast70.67	40	1mo ago
DRAKE (Self)	FedMosaic	Alast70.1	30	1mo ago
DRAKE static (Others)	FedMosaic	Alast52.67	20	1mo ago
Task 6	FOCUS	Accuracy85.3	13	1mo ago
Task 5	FOCUS	Accuracy64.6	13	1mo ago
Task 4	FOCUS	Accuracy62.5	13	1mo ago
Task 2	FOCUS	Accuracy81.3	13	1mo ago
Task 1	FOCUS	Accuracy42.4	13	1mo ago
CIFAR10 pathological non-IID (500 clients, 80 samples)	SuPerFed-MM	Top-1 Acc90.81	11	1mo ago
CIFAR10 pathological non-IID (100 clients, 400 samples)	SuPerFed-MM	Top-1 Acc93.25	11	1mo ago
CIFAR10 pathological non-IID (50 clients, 800 samples)	SuPerFed-MM	Top-1 Acc94.05	11	1mo ago
MNIST pathological non-IID (500 clients, 96 samples)	FedPer	Top-1 Acc0.994	11	1mo ago
MNIST pathological non-IID (100 clients, 480 samples)	SuPerFed-MM	Top-1 Acc99.38	11	1mo ago
MNIST pathological non-IID (50 clients, 960 samples)	SuPerFed-LM	Top-1 Acc99.48	11	1mo ago
DRAKE-Static (Self)	FedMosaic	Alast70.41	10	1mo ago
DRAKE alpha=0.1 Dirichlet non-i.i.d. splits	FedMosaic	A_last73.12	10	1mo ago
DRAKE Dirichlet non-i.i.d. splits alpha=0.5	FedMosaic	A_last70.2	10	1mo ago
DRAKE alpha=1.0 Dirichlet non-i.i.d. splits	FedMosaic	A_last69.12	10	1mo ago
DRAKE (Others)	FedMosaic	Alast52.4	10	1mo ago
Fed-LLM Large-Scale (52 clients) (Others)	FedMosaic	Alast15.71	9	1mo ago
Fed-LLM Large-Scale (52 clients) (Self)	TAKFL	Alast14.04	9	1mo ago
Tiny-ImageNet Pathological 10	Ditto	Accuracy@40261	9	1mo ago
Tiny-ImageNet Pathological 20	OSGP	Top-30 Accuracy258	8	1mo ago
Tiny-ImageNet Dirichlet 0.1	Ditto	Acc @20178	8	1mo ago

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