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Models/FedSAM + SWA

FedSAM + SWA

Reported on 11 benchmarks across 1 task · 1 paper

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

Methodology11 results

  • Federated LearningonCIFAR-100 (alpha=0, 5 clients per round)
    ACC@1-100Clients· 2022-03-22
    39.3
    best: 42.01 (FedASAM + SWA)
    Improving Generalization in Federated Learning by Seeking Flat MinimaarXiv:2203.11834
  • Federated LearningonCIFAR-100 (alpha=0, 10 clients per round)
    ACC@1-100Clients· 2022-03-22
    39.51
    best: 42.64 (FedASAM + SWA)
    Improving Generalization in Federated Learning by Seeking Flat MinimaarXiv:2203.11834
  • Federated LearningonCIFAR-100 (alpha=0.5, 5 clients per round)
    ACC@1-100Clients· 2022-03-22
    47.96
    best: 49.17 (FedASAM + SWA)
    Improving Generalization in Federated Learning by Seeking Flat MinimaarXiv:2203.11834
  • Federated LearningonCIFAR-100 (alpha=0, 20 clients per round)
    ACC@1-100Clients· 2022-03-22
    39.24
    best: 41.62 (FedASAM + SWA)
    Improving Generalization in Federated Learning by Seeking Flat MinimaarXiv:2203.11834
  • Federated LearningonCIFAR-100 (alpha=0.5, 20 clients per round)
    ACC@1-100Clients· 2022-03-22
    46.47
    best: 48.27 (FedASAM + SWA)
    Improving Generalization in Federated Learning by Seeking Flat MinimaarXiv:2203.11834
  • Federated LearningonCIFAR-100 (alpha=1000, 5 clients per round)
    ACC@1-100Clients· 2022-03-22
    53.9
    best: 54.81 (FedASAM)
    Improving Generalization in Federated Learning by Seeking Flat MinimaarXiv:2203.11834
  • Federated LearningonCIFAR-100 (alpha=0.5, 10 clients per round)
    ACC@1-100Clients· 2022-03-22
    46.76
    best: 48.72 (FedASAM + SWA)
    Improving Generalization in Federated Learning by Seeking Flat MinimaarXiv:2203.11834
  • Federated LearningonCityscapes heterogeneous
    mIoU· 2022-03-22
    43.42
    best: 49.75 (SiloBN + ASAM)
    Improving Generalization in Federated Learning by Seeking Flat MinimaarXiv:2203.11834
  • Federated LearningonLandmarks-User-160k
    Acc@1-1262Clients· 2022-03-22
    68.12
    best: 68.32 (FedASAM + SWA)
    Improving Generalization in Federated Learning by Seeking Flat MinimaarXiv:2203.11834
  • Federated LearningonCIFAR-100 (alpha=1000, 10 clients per round)
    ACC@1-100Clients· 2022-03-22
    53.67
    best: 54.97 (FedASAM)
    Improving Generalization in Federated Learning by Seeking Flat MinimaarXiv:2203.11834
  • Federated LearningonCIFAR-100 (alpha=1000, 20 clients per round)
    ACC@1-100Clients· 2022-03-22
    54.36
    best: 54.5 (FedASAM)
    Improving Generalization in Federated Learning by Seeking Flat MinimaarXiv:2203.11834