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Models/pFedHN-PC

pFedHN-PC

Reported on 9 benchmarks across 1 task · 1 paper · 8 SOTA

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

Methodology9 results

  • Federated LearningonCIFAR-10
    ACC@1-100Clients· 2021-03-08
    88.09
    best: 93.25 (SuPerFed-MM)
    SOTA
    Personalized Federated Learning using HypernetworksarXiv:2103.04628
  • Federated LearningonCIFAR-10
    ACC@1-10Clients· 2021-03-08
    92.47
    SOTA
    Personalized Federated Learning using HypernetworksarXiv:2103.04628
  • Federated LearningonCIFAR-10
    ACC@1-500Clients· 2021-03-08
    83.2
    best: 90.81 (SuPerFed-MM)
    SOTA
    Personalized Federated Learning using HypernetworksarXiv:2103.04628
  • Federated LearningonCIFAR-10
    ACC@1-50Clients· 2021-03-08
    90.08
    best: 94.05 (SuPerFed-MM)
    SOTA
    Personalized Federated Learning using HypernetworksarXiv:2103.04628
  • Federated LearningonOmniglot
    ACC@1-50Clients· 2021-03-08
    81.89
    SOTA
    Personalized Federated Learning using HypernetworksarXiv:2103.04628
  • Federated LearningonCIFAR-100
    ACC@1-10Clients· 2021-03-08
    68.15
    SOTA
    Personalized Federated Learning using HypernetworksarXiv:2103.04628
  • Federated LearningonCIFAR-100
    ACC@1-500· 2021-03-08
    34.1
    best: 55.7 (pFedGP-IP-data)
    SOTA
    Personalized Federated Learning using HypernetworksarXiv:2103.04628
  • Federated LearningonCIFAR-100
    ACC@1-50Clients· 2021-03-08
    60.17
    best: 63.3 (pFedGP)
    SOTA
    Personalized Federated Learning using HypernetworksarXiv:2103.04628
  • Federated LearningonCIFAR-100
    ACC@1-100Clients· 2021-03-08
    52.4
    best: 61.3 (pFedGP)
    Personalized Federated Learning using HypernetworksarXiv:2103.04628