Multi-label Classification on NIH Chest X-ray
0.822Mean AUCXProtoNet
Evaluation results
| Method | Links | |||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| XProtoNetBackbone=DenseNet-1212021.03 | 0.822 | 0.78 | 0.887 | 0.835 | 0.71 | 0.831 | 0.804 | 0.734 | 0.871 | 0.747 | 0.84 | 0.941 | 0.815 | 0.799 | 0.909 | |
| Hermoza et al.Backbone=DenseNet-121, Additional conventional network=true2021.03 | 0.821 | 0.775 | 0.881 | 0.831 | 0.695 | 0.826 | 0.789 | 0.741 | 0.879 | 0.747 | 0.846 | 0.936 | 0.833 | 0.793 | 0.917 | |
| XProtoNetBackbone=ResNet-502021.03 | 0.82 | 0.782 | 0.881 | 0.836 | 0.715 | 0.834 | 0.799 | 0.73 | 0.874 | 0.747 | 0.834 | 0.936 | 0.815 | 0.798 | 0.896 | |
| Ma et al.Backbone=DenseNet-121, Additional conventional network=true2021.03 | 0.817 | 0.777 | 0.894 | 0.829 | 0.696 | 0.838 | 0.771 | 0.722 | 0.862 | 0.75 | 0.846 | 0.908 | 0.827 | 0.779 | 0.934 | |
| Guan et al.Backbone=DenseNet-1212021.03 | 0.816 | 0.781 | 0.883 | 0.831 | 0.697 | 0.83 | 0.764 | 0.725 | 0.866 | 0.758 | 0.853 | 0.911 | 0.826 | 0.78 | 0.918 | |
| Guan et al.Backbone=ResNet-502021.03 | 0.814 | 0.779 | 0.879 | 0.824 | 0.694 | 0.831 | 0.766 | 0.726 | 0.858 | 0.758 | 0.85 | 0.909 | 0.832 | 0.778 | 0.906 | |
| FedAvgBackbone=DenseNet121, Labeled Data Percentage=100%, Task-dependent model aggregation=false2023.04 | 0.807 | 0.776 | 0.877 | 0.828 | 0.696 | 0.82 | 0.768 | 0.717 | 0.865 | 0.75 | 0.849 | 0.913 | 0.817 | 0.775 | 0.85 | |
| FedLSMBackbone=DenseNet121, Task-dependent model aggregation=false2023.04 | 0.791 | 0.757 | 0.846 | 0.804 | 0.68 | 0.775 | 0.742 | 0.7 | 0.858 | 0.727 | 0.833 | 0.901 | 0.804 | 0.755 | 0.884 | |
| FedAvg-FixMatch*Backbone=DenseNet121, Task-dependent model aggregation=true2023.04 | 0.776 | 0.741 | 0.858 | 0.8 | 0.68 | 0.767 | 0.735 | 0.699 | 0.836 | 0.73 | 0.815 | 0.813 | 0.776 | 0.745 | 0.865 | |
| MOON*Backbone=DenseNet121, Task-dependent model aggregation=true2023.04 | 0.772 | 0.722 | 0.841 | 0.76 | 0.689 | 0.736 | 0.72 | 0.7 | 0.836 | 0.718 | 0.817 | 0.877 | 0.78 | 0.74 | 0.873 | |
| FedProx*Backbone=DenseNet121, Task-dependent model aggregation=true2023.04 | 0.766 | 0.716 | 0.84 | 0.766 | 0.678 | 0.723 | 0.729 | 0.707 | 0.805 | 0.716 | 0.811 | 0.842 | 0.772 | 0.737 | 0.886 | |
| FedAvg*Backbone=DenseNet121, Task-dependent model aggregation=true2023.04 | 0.76 | 0.721 | 0.83 | 0.75 | 0.687 | 0.725 | 0.722 | 0.684 | 0.818 | 0.724 | 0.814 | 0.842 | 0.766 | 0.732 | 0.84 | |
| FPSLBackbone=DenseNet121, Task-dependent model aggregation=Source mechanism2023.04 | 0.76 | 0.712 | 0.82 | 0.773 | 0.672 | 0.704 | 0.716 | 0.711 | 0.809 | 0.709 | 0.813 | 0.837 | 0.775 | 0.725 | 0.87 | |
| Wang et al.Backbone=ResNet-502021.03 | 0.745 | 0.7 | 0.81 | 0.759 | 0.661 | 0.693 | 0.669 | 0.658 | 0.799 | 0.703 | 0.805 | 0.833 | 0.786 | 0.684 | 0.872 | |
| FSSL*Backbone=DenseNet121, Task-dependent model aggregation=true2023.04 | 0.74 | 0.682 | 0.794 | 0.759 | 0.7 | 0.682 | 0.695 | 0.706 | 0.766 | 0.713 | 0.805 | 0.705 | 0.79 | 0.726 | 0.837 | |
| FedBBLocal learning epochs (E)=5, Imbalance factor (delta)=12026.06 | 0.7202 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FedBBLocal learning epochs (E)=2, Imbalance factor (delta)=0.52026.06 | 0.7129 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FedBBLocal learning epochs (E)=2, Imbalance factor (delta)=12026.06 | 0.7114 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FedAvgBackbone=DenseNet121, Task-dependent model aggregation=false2023.04 | 0.71 | 0.634 | 0.75 | 0.71 | 0.695 | 0.686 | 0.707 | 0.695 | 0.79 | 0.682 | 0.765 | 0.717 | 0.76 | 0.726 | 0.623 | |
| FedRSBackbone=DenseNet121, Task-dependent model aggregation=false2023.04 | 0.697 | 0.66 | 0.707 | 0.732 | 0.682 | 0.67 | 0.685 | 0.685 | 0.761 | 0.685 | 0.756 | 0.644 | 0.75 | 0.72 | 0.609 | |
| FedBBLocal learning epochs (E)=5, Imbalance factor (delta)=0.52026.06 | 0.6898 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FedAvgLocal learning epochs (E)=5, Imbalance factor (delta)=12026.06 | 0.681 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FedAvgLocal learning epochs (E)=2, Imbalance factor (delta)=0.52026.06 | 0.6765 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FedNovaLocal learning epochs (E)=5, Imbalance factor (delta)=12026.06 | 0.676 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FedAvgLocal learning epochs (E)=2, Imbalance factor (delta)=12026.06 | 0.6754 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FedProxLocal learning epochs (E)=5, Imbalance factor (delta)=12026.06 | 0.6734 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FedNovaLocal learning epochs (E)=5, Imbalance factor (delta)=0.52026.06 | 0.6733 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FedAlignLocal learning epochs (E)=2, Imbalance factor (delta)=0.52026.06 | 0.672 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| MOONLocal learning epochs (E)=5, Imbalance factor (delta)=12026.06 | 0.6702 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FedProxLocal learning epochs (E)=2, Imbalance factor (delta)=0.52026.06 | 0.6697 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FedAlignLocal learning epochs (E)=5, Imbalance factor (delta)=0.52026.06 | 0.6689 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FedProxLocal learning epochs (E)=2, Imbalance factor (delta)=12026.06 | 0.6657 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FedNovaLocal learning epochs (E)=2, Imbalance factor (delta)=12026.06 | 0.6597 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FedAlignLocal learning epochs (E)=5, Imbalance factor (delta)=12026.06 | 0.6577 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FedProxLocal learning epochs (E)=5, Imbalance factor (delta)=0.52026.06 | 0.6574 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| MOONLocal learning epochs (E)=2, Imbalance factor (delta)=0.52026.06 | 0.6573 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FedAlignLocal learning epochs (E)=2, Imbalance factor (delta)=12026.06 | 0.6555 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FedNovaLocal learning epochs (E)=2, Imbalance factor (delta)=0.52026.06 | 0.6532 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FedAvgLocal learning epochs (E)=5, Imbalance factor (delta)=0.52026.06 | 0.648 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| MOONLocal learning epochs (E)=2, Imbalance factor (delta)=12026.06 | 0.6453 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| MOONLocal learning epochs (E)=5, Imbalance factor (delta)=0.52026.06 | 0.6422 | — | — | — | — | — | — | — | — | — | — | — | — | — | — |