Snail: Scheduler-Driven Backdoor Injection in Split Federated Learning via Gradual Perturbation
Split Federated Learning (SFL) reduces client-side computation by partitioning neural networks between clients and a server, but its cut-layer interaction also creates a new surface for backdoor injection. Existing attacks often rely on persistent poisoning or privileged server-side knowledge, limiting their practicali...