Federated Learning Classification on CIFAR-10 FedAvg (test)
65.54AccuracyRECESS
Evaluation results
| Method | Links | |
|---|---|---|
| RECESSAttacker's Knowledge=None, Attacks=No Attack2023.10 | 65.54 | |
| RECESSAttacker's Knowledge=Black-box, Attacks=AGR-agnostic Min-Sum2023.10 | 64.32 | |
| RECESSAttacker's Knowledge=White-box, Attacks=AGR-tailored2023.10 | 60.43 | |
| KrumAttacker's Knowledge=None, Attacks=No Attack2023.10 | 51.62 | |
| FLTrustAttacker's Knowledge=White-box, Attacks=AGR-tailored2023.10 | 46.36 | |
| DnCAttacker's Knowledge=White-box, Attacks=AGR-tailored2023.10 | 46.14 |