Latency-Optimal Adaptive Split Inference for Privacy-Preserving Cloud-Edge-End Collaboration
A latency-optimal adaptive split inference framework for privacy-preserving cloud-edge-end collaboration, which jointly models plaintext prefix execution, encryption, communication, edge-side FHE execution, and cloud-side FHE completion, and supports both convolution-level and block-level split granularities.