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Federated Unlearning on CIFAR-10 ResNet-18
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58.54
Pretrain Accuracy
f-FUM (KL-KL)
53.1736
54.5668
55.96
57.3532
Feb 5, 2026
Pretrain Accuracy
Unlearn Accuracy
Updated 4d ago
Evaluation Results
Method
Method
Links
Pretrain Accuracy
Unlearn Accuracy
f-FUM (KL-KL)
N=5, Removed (%)=2%, B...
2026.02
58.54
66.64
f-FUM (KL-JS)
N=5, Removed (%)=2%, B...
2026.02
58.54
74.5
f-FUM (KL-χ2)
N=5, Removed (%)=2%, B...
2026.02
58.54
67.26
NoT
N=5, Removed (%)=2%, B...
2026.02
58.54
68
Halimi
N=5, Removed (%)=2%, B...
2026.02
58.54
68
f-FUM (KL-KL)
N=10, Removed (%)=2%,...
2026.02
53.38
68.62
f-FUM (KL-JS)
N=10, Removed (%)=2%,...
2026.02
53.38
73.4
f-FUM (KL-χ2)
N=10, Removed (%)=2%,...
2026.02
53.38
57.86
NoT
N=10, Removed (%)=2%,...
2026.02
53.38
62
Halimi
N=10, Removed (%)=2%,...
2026.02
53.38
62
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