Open access
2026
SiftFL: Scheduling-Based Robust Backdoor Detection in Federated Learning
SiftFL is proposed, a scheduling-based robust backdoor detection method that sifts out malicious client models at a fraction of the original cost and preserves and improves the robustness of CGAN-based detection while sharply lowering its server-side cost.
Ekhlas Hashem, Muhamad Felemban, Sajjad Mahmood et al.
· IEEE Access · 0 citations