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Models/FedASAM

FedASAM

Reported on 11 benchmarks across 1 task · 1 paper · 3 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=1000, 5 clients per round)
    ACC@1-100Clients· 2022-03-22
    54.81
    SOTA
    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
    54.97
    SOTA
    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
    54.5
    SOTA
    Improving Generalization in Federated Learning by Seeking Flat MinimaarXiv:2203.11834
  • Federated LearningonCIFAR-100 (alpha=0, 5 clients per round)
    ACC@1-100Clients· 2022-03-22
    36.04
    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
    39.76
    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
    45.61
    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
    40.81
    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
    47.78
    best: 48.27 (FedASAM + SWA)
    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
    46.58
    best: 48.72 (FedASAM + SWA)
    Improving Generalization in Federated Learning by Seeking Flat MinimaarXiv:2203.11834
  • Federated LearningonCityscapes heterogeneous
    mIoU· 2022-03-22
    42.27
    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
    64.23
    best: 68.32 (FedASAM + SWA)
    Improving Generalization in Federated Learning by Seeking Flat MinimaarXiv:2203.11834