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Models/FedASAM + SWA

FedASAM + SWA

Reported on 11 benchmarks across 1 task · 1 paper · 7 SOTA

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
    42.01
    SOTA
    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
    42.64
    SOTA
    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
    49.17
    SOTA
    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
    41.62
    SOTA
    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
    48.27
    SOTA
    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
    48.72
    SOTA
    Improving Generalization in Federated Learning by Seeking Flat MinimaarXiv:2203.11834
  • Federated LearningonLandmarks-User-160k
    Acc@1-1262Clients· 2022-03-22
    68.32
    SOTA
    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
    53.86
    best: 54.81 (FedASAM)
    Improving Generalization in Federated Learning by Seeking Flat MinimaarXiv:2203.11834
  • Federated LearningonCityscapes heterogeneous
    mIoU· 2022-03-22
    43.02
    best: 49.75 (SiloBN + ASAM)
    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
    54.79
    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
    54.1
    best: 54.5 (FedASAM)
    Improving Generalization in Federated Learning by Seeking Flat MinimaarXiv:2203.11834