Federated Unlearning on CIFAR-10 (Forget)
87.66AccuracyRetrain
Evaluation Results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| RetrainModel=ResNet-18, Communication Cost (Bytes)=1.23e12, Computation Cost (FLOPs)=5.66e182025.03 | 87.66 | 0 | 49.37 | 0 | 0 | |
| FCUModel=ResNet-18, Communication Cost (Bytes)=5.73e11, Computation Cost (FLOPs)=2.64e182025.03 | 87.51 | 0.15 | 50.8 | 1.43 | 0.84 | |
| FTModel=CNN, Communication Cost (Bytes)=9.39e09, Computation Cost (FLOPs)=4.06e162025.03 | 85.56 | 2.51 | 50.9 | 0.67 | 1.01 | |
| NoTModel=CNN, Communication Cost (Bytes)=7.09e09, Computation Cost (FLOPs)=3.06e162025.03 | 83.86 | 0.81 | 50.23 | 0 | 0.29 | |
| RetrainModel=CNN, Communication Cost (Bytes)=1.35e10, Computation Cost (FLOPs)=5.81e162025.03 | 83.05 | 0 | 50.23 | 0 | 0 |