Image Classification on CIFAR100 Noisy Non-IID
57.09AccuracypFedLIA
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 | 57.09 | |
| FedFomoBackbone=ResNet-18, Pre-trained=true, Data Heterogeneity Setting=Noisy Non-IID, Client Participation Rate=10%2025.05 | 40.06 | |
| Local-onlyBackbone=ResNet-18, Pre-trained=true, Data Heterogeneity Setting=Noisy Non-IID, Client Participation Rate=10%2025.05 | 33.89 | |
| FedProtoBackbone=ResNet-18, Pre-trained=true, Data Heterogeneity Setting=Noisy Non-IID, Client Participation Rate=10%2025.05 | 33.35 | |
| CFLBackbone=ResNet-18, Pre-trained=true, Data Heterogeneity Setting=Noisy Non-IID, Client Participation Rate=10%2025.05 | 25.09 | |
| FedAvgBackbone=ResNet-18, Pre-trained=true, Data Heterogeneity Setting=Noisy Non-IID, Client Participation Rate=10%2025.05 | 24.52 | |
| FeSEMBackbone=ResNet-18, Pre-trained=true, Data Heterogeneity Setting=Noisy Non-IID, Client Participation Rate=10%2025.05 | 22.2 |