Adaptive Model Partitioning, Encryption Configuration, and Resource Allocation for Device-and-Edge Collaborative Homomorphic Encrypted Split Federated Learning
The integration of homomorphic encryption (HE) into split federated learning (SFL) offers significant security advantages by maintaining end-to-end encryption of intermediate computations. Existing SFL approaches often overlook encryption, adopting fixed machine learning (ML) model partitioning strategies without consi...