Image Classification on CIFAR10 Noisy Non-IID
74.52AccuracypFedLIA
Evaluation results
| Method | Links | |
|---|---|---|
| pFedLIABackbone=ResNet-18, Pre-trained=true, Data Heterogeneity Setting=Noisy Non-IID, Client Participation Rate=10%, Warm-up Rounds=202025.05 | 74.52 | |
| FedFomoBackbone=ResNet-18, Pre-trained=true, Data Heterogeneity Setting=Noisy Non-IID, Client Participation Rate=10%2025.05 | 69.98 | |
| FeSEMBackbone=ResNet-18, Pre-trained=true, Data Heterogeneity Setting=Noisy Non-IID, Client Participation Rate=10%2025.05 | 68.86 | |
| Local-onlyBackbone=ResNet-18, Pre-trained=true, Data Heterogeneity Setting=Noisy Non-IID, Client Participation Rate=10%2025.05 | 66.24 | |
| FedProtoBackbone=ResNet-18, Pre-trained=true, Data Heterogeneity Setting=Noisy Non-IID, Client Participation Rate=10%2025.05 | 65.45 | |
| CFLBackbone=ResNet-18, Pre-trained=true, Data Heterogeneity Setting=Noisy Non-IID, Client Participation Rate=10%2025.05 | 29.52 | |
| FedAvgBackbone=ResNet-18, Pre-trained=true, Data Heterogeneity Setting=Noisy Non-IID, Client Participation Rate=10%2025.05 | 29.09 |