Federated Class-Incremental Learning on ImageNet Subset 10 incremental tasks
42.7AccuracyGLFC (Ours)
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| GLFC (Ours)Backbone=ResNet-18, Exemplar memory size=2000, Federated Learning=true, Number of incremental tasks=102022.03 | 42.7 | 57 | — | |
| Ours-w/oCGCBackbone=ResNet-18, Exemplar memory size=2000, Federated Learning=true, Number of incremental tasks=10, Ablation=Without CGC2022.03 | 39.3 | 55.1 | 1.9 | |
| DDE + iCaRL + FLBackbone=ResNet-18, Exemplar memory size=2000, Federated Learning=true, Number of incremental tasks=102022.03 | 39 | 52.3 | 4.7 | |
| PODNet + FLBackbone=ResNet-18, Exemplar memory size=2000, Federated Learning=true, Number of incremental tasks=102022.03 | 38.3 | 52.6 | 4.4 | |
| SS-IL + FLBackbone=ResNet-18, Exemplar memory size=2000, Federated Learning=true, Number of incremental tasks=102022.03 | 37.3 | 46.4 | 10.6 | |
| Ours-w/oPRSBackbone=ResNet-18, Exemplar memory size=2000, Federated Learning=true, Number of incremental tasks=10, Ablation=Without PRS2022.03 | 37.3 | 52.8 | 4.2 | |
| GeoDL + iCaRL + FLBackbone=ResNet-18, Exemplar memory size=2000, Federated Learning=true, Number of incremental tasks=102022.03 | 37 | 50 | 7 | |
| Ours-w/oCRDBackbone=ResNet-18, Exemplar memory size=2000, Federated Learning=true, Number of incremental tasks=10, Ablation=Without CRD2022.03 | 35.3 | 47.3 | 9.7 | |
| BiC + FLBackbone=ResNet-18, Exemplar memory size=2000, Federated Learning=true, Number of incremental tasks=102022.03 | 34 | 49 | 8 | |
| iCaRL + FLBackbone=ResNet-18, Exemplar memory size=2000, Federated Learning=true, Number of incremental tasks=102022.03 | 32.7 | 46.5 | 10.5 |