Ke Zhang

Spatiotemporal Resource Orchestration for LLM Inference in Vehicular-Edge Networks

Large Language Models (LLMs) have been increasingly applied to intelligent vehicular systems for tasks such as scene understanding, intent reasoning, and natural language interaction. However, their inference demands exceed onboard processing capabilities, making low-latency on-vehicle inference impractical. Although e...