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Models/SuPerFed-MM

SuPerFed-MM

Reported on 11 benchmarks across 1 task · 1 paper · 10 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Methodology11 results

Federated LearningonFEMNIST
Acc@1· 2021-09-16
85.2
SOTA
Connecting Low-Loss Subspace for Personalized Federated Learning arXiv:2109.07628
Federated LearningonFEMNIST
Acc@5· 2021-09-16
99.16
SOTA
Connecting Low-Loss Subspace for Personalized Federated Learning arXiv:2109.07628
Federated LearningonCIFAR-10
ACC@1-100Clients· 2021-09-16
93.25
SOTA
Connecting Low-Loss Subspace for Personalized Federated Learning arXiv:2109.07628
Federated LearningonCIFAR-10
ACC@1-500Clients· 2021-09-16
90.81
SOTA
Connecting Low-Loss Subspace for Personalized Federated Learning arXiv:2109.07628
Federated LearningonCIFAR-10
ACC@1-50Clients· 2021-09-16
94.05
SOTA
Connecting Low-Loss Subspace for Personalized Federated Learning arXiv:2109.07628
Federated LearningonShakespeare
Acc@1· 2021-09-16
54.52
SOTA
Connecting Low-Loss Subspace for Personalized Federated Learning arXiv:2109.07628
Federated LearningonShakespeare
Acc@5· 2021-09-16
84.27
SOTA
Connecting Low-Loss Subspace for Personalized Federated Learning arXiv:2109.07628
Federated LearningonMNIST
ACC@1-100Clients· 2021-09-16
99.38
SOTA
Connecting Low-Loss Subspace for Personalized Federated Learning arXiv:2109.07628
Federated LearningonMNIST
ACC@1-500Clients· 2021-09-16
99.24
SOTA
Connecting Low-Loss Subspace for Personalized Federated Learning arXiv:2109.07628
Federated LearningonTiny ImageNet
ACC@5-200Clients· 2021-09-16
50.07
SOTA
Connecting Low-Loss Subspace for Personalized Federated Learning arXiv:2109.07628
Federated LearningonCIFAR-100
ACC@5-100Clients· 2021-09-16
60.14
best: 62.5 (SuPerFed-LM)
Connecting Low-Loss Subspace for Personalized Federated Learning arXiv:2109.07628