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Federated Class-Incremental Learning on FCIL-H

95.06Average Accuracy (Aavg)UP
60.563269.519178.47587.4309Mar 30, 2026

Evaluation results

MethodLinks
UPHeterogeneity alpha=1.02026.0395.0695.87
UPHeterogeneity alpha=0.52026.0395.0695.87
FeDMRAHeterogeneity alpha=1.02026.0391.7787.34
FeDMRAHeterogeneity alpha=0.52026.0388.4882.95
MFCLHeterogeneity alpha=1.02026.0379.2751.09
DDDRHeterogeneity alpha=1.02026.0378.2364
MFCLHeterogeneity alpha=0.52026.0377.9151.2
Re-FedHeterogeneity alpha=1.02026.0376.9873.44
Re-FedHeterogeneity alpha=0.52026.0376.9873.44
DDDRHeterogeneity alpha=0.52026.0373.2159.02
UACL+FLHeterogeneity alpha=1.02026.0366.5948.44
UACL+FLHeterogeneity alpha=0.52026.0366.5948.44
iCaRL+FLHeterogeneity alpha=1.02026.0361.8946.51
iCaRL+FLHeterogeneity alpha=0.52026.0361.8946.51