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Benchmarks
Federated Domain Incremental Learning on FDIL alpha=0.5 (test)
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84.1
Average Accuracy (Aavg)
UP
49.8944
58.7747
67.655
76.5353
Mar 30, 2026
Average Accuracy (Aavg)
Last Accuracy (Alast)
Updated 18d ago
Evaluation Results
Method
Method
Links
Average Accuracy (Aavg)
Last Accuracy (Alast)
UP
Heterogeneity (alpha)=0.5
2026.03
84.1
89.18
DDDR
Heterogeneity (alpha)=0.5
2026.03
76.01
72.3
FeDMRA
Heterogeneity (alpha)=0.5
2026.03
75.83
79.02
MFCL
Heterogeneity (alpha)=0.5
2026.03
75.5
68.48
Re-Fed
Heterogeneity (alpha)=0.5
2026.03
73.85
79.27
iCaRL+FL
Heterogeneity (alpha)=0.5
2026.03
64.57
70.96
UACL+FL
Heterogeneity (alpha)=0.5
2026.03
51.21
46.05
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