Tasks SotA Datasets Papers Methods Submit About

Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable Benchmarks All SotA Datasets Papers Methods

Community

Submit Results About

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/SuPerFed-LM

SuPerFed-LM

Reported on 12 benchmarks across 1 task · 1 paper · 2 SOTA

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

Methodology12 results

Federated LearningonCIFAR-100
ACC@5-100Clients· 2021-09-16
62.5
SOTA
Connecting Low-Loss Subspace for Personalized Federated Learning arXiv:2109.07628
Federated LearningonMNIST
ACC@1-50Clients· 2021-09-16
99.48
SOTA
Connecting Low-Loss Subspace for Personalized Federated Learning arXiv:2109.07628
Federated LearningonFEMNIST
Acc@1· 2021-09-16
83.36
best: 85.2 (SuPerFed-MM)
Connecting Low-Loss Subspace for Personalized Federated Learning arXiv:2109.07628
Federated LearningonFEMNIST
Acc@5· 2021-09-16
98.81
best: 99.16 (SuPerFed-MM)
Connecting Low-Loss Subspace for Personalized Federated Learning arXiv:2109.07628
Federated LearningonCIFAR-10
ACC@1-100Clients· 2021-09-16
93.2
best: 93.25 (SuPerFed-MM)
Connecting Low-Loss Subspace for Personalized Federated Learning arXiv:2109.07628
Federated LearningonCIFAR-10
ACC@1-500Clients· 2021-09-16
89.63
best: 90.81 (SuPerFed-MM)
Connecting Low-Loss Subspace for Personalized Federated Learning arXiv:2109.07628
Federated LearningonCIFAR-10
ACC@1-50Clients· 2021-09-16
93.88
best: 94.05 (SuPerFed-MM)
Connecting Low-Loss Subspace for Personalized Federated Learning arXiv:2109.07628
Federated LearningonShakespeare
Acc@1· 2021-09-16
54.52
Connecting Low-Loss Subspace for Personalized Federated Learning arXiv:2109.07628
Federated LearningonShakespeare
Acc@5· 2021-09-16
83.97
best: 84.27 (SuPerFed-MM)
Connecting Low-Loss Subspace for Personalized Federated Learning arXiv:2109.07628
Federated LearningonMNIST
ACC@1-100Clients· 2021-09-16
99.31
best: 99.38 (SuPerFed-MM)
Connecting Low-Loss Subspace for Personalized Federated Learning arXiv:2109.07628
Federated LearningonMNIST
ACC@1-500Clients· 2021-09-16
98.83
best: 99.24 (SuPerFed-MM)
Connecting Low-Loss Subspace for Personalized Federated Learning arXiv:2109.07628
Federated LearningonTiny ImageNet
ACC@5-200Clients· 2021-09-16
49.29
best: 50.07 (SuPerFed-MM)
Connecting Low-Loss Subspace for Personalized Federated Learning arXiv:2109.07628