Siyuan Zheng

FHE-EESI: A Lightweight Fully Homomorphic Encryption-Based End-Edge Collaborative Split Inference Framework

End-edge collaborative inference has emerged as an important trend for deploying deep learning applications on resource-constrained end devices. However, the continuous data interaction between end devices and edge server inevitably raises privacy concerns. Fully homomorphic encryption (FHE) provides a privacy-preservi...