Federated Class-Incremental Learning on Cora
70.42Final Accuracy (FAA)PRO-MAX
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| PRO-MAXSetting=Homogeneous2026.06 | 70.42 | 73.64 | 20.96 | 1.16 | |
| PROSetting=Homogeneous2026.06 | 68.86 | 72.82 | 23.84 | 1.12 | |
| MOTIONSetting=Homogeneous2026.06 | 66.42 | 71.28 | 27.86 | 1.36 | |
| PRO-MAXSetting=Heterogeneous2026.06 | 66.18 | 68.04 | 25.84 | 1.16 | |
| POWERSetting=Homogeneous2026.06 | 65.84 | 70.86 | 28.64 | 1.42 | |
| PROSetting=Heterogeneous2026.06 | 63.24 | 66.42 | 30.86 | 1.12 | |
| MOTIONSetting=Heterogeneous2026.06 | 60.14 | 65.08 | 35.94 | 1.36 | |
| POWERSetting=Heterogeneous2026.06 | 58.76 | 64.36 | 38.82 | 1.42 | |
| FedProtoSetting=Homogeneous2026.06 | 52.46 | 61.18 | 44.28 | 1.08 | |
| FedProxSetting=Homogeneous2026.06 | 47.06 | 59.12 | 51.76 | 1 | |
| FedProtoSetting=Heterogeneous2026.06 | 46.82 | 56.42 | 51.86 | 1.08 | |
| FedAvgSetting=Homogeneous2026.06 | 46.18 | 58.86 | 53.84 | 1 | |
| FedProxSetting=Heterogeneous2026.06 | 41.32 | 54.08 | 59.74 | 1 | |
| FedAvgSetting=Heterogeneous2026.06 | 39.84 | 53.26 | 61.82 | 1 |