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Federated Unlearning on DomainNet
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91.44
Target Accuracy (TA)
FUSED
75.5488
79.6744
83.8
87.9256
Jun 3, 2023
Target Accuracy (TA)
Boundary Separation Ratio (BSR)
Updated 8d ago
Evaluation Results
Method
Method
Links
Target Accuracy (TA)
Boundary Separation Ratio (BSR)
FUSED
regime=FM-LP
2023.06
91.44
11.12
Flipping
regime=FM-LP
2023.06
89.86
10.9
Retrain
regime=FM-LP
2023.06
89.72
8.86
F2L2
regime=FM-LP
2023.06
89.65
7.61
CF
regime=FM-LP
2023.06
89.59
13.44
Ferrari
regime=FM-LP
2023.06
88.85
3.2
SGA
regime=FM-LP
2023.06
86.11
7.8
FedEraser
regime=FM-LP
2023.06
82.83
9.91
EWSGA
regime=FM-LP
2023.06
77.27
0.05
PGA
regime=FM-LP
2023.06
76.16
0
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