Federated Class-Incremental Learning on VTAB
92.49Average AccuracyFedRAN
Evaluation results
| Method | Links | ||
|---|---|---|---|
| FedRANbeta=0.12026.06 | 92.49 | 88.22 | |
| FedRANbeta=0.52026.06 | 92.49 | 88.22 | |
| FedRANbeta=1.02026.06 | 92.49 | 88.22 | |
| STSAbeta=0.52026.06 | 90.59 | 87.27 | |
| STSAbeta=1.02026.06 | 90.38 | 87.05 | |
| STSAbeta=0.12026.06 | 89.81 | 86.55 | |
| FediCaRLbeta=1.02026.06 | 72.95 | 64.07 | |
| FediCaRLbeta=0.52026.06 | 68.14 | 63.97 | |
| FediCaRLbeta=0.12026.06 | 59.68 | 52.19 | |
| FedLwFbeta=1.02026.06 | 41.38 | 14.43 | |
| FedLwFbeta=0.52026.06 | 38.31 | 24.12 | |
| FedEWCbeta=1.02026.06 | 38.1 | 18.45 | |
| Finetunebeta=1.02026.06 | 36.57 | 18.92 | |
| FedEWCbeta=0.52026.06 | 36.06 | 20.93 | |
| Finetunebeta=0.52026.06 | 35.56 | 19.65 | |
| FedLwFbeta=0.12026.06 | 28.7 | 9.12 | |
| FedEWCbeta=0.12026.06 | 27.95 | 9.83 | |
| Finetunebeta=0.12026.06 | 27.57 | 4.86 | |
| TARGETbeta=1.02026.06 | 25.45 | 5.93 | |
| TARGETbeta=0.52026.06 | 20.59 | 4.63 | |
| TARGETbeta=0.12026.06 | 18.57 | 4.61 |