2 papers
cs.NI2025
CE-LSLM: Efficient Large-Small Language Model Inference and Communication via Cloud-Edge Collaboration
Pengyan Zhu, Tingting Yang
Emerging intelligent service scenarios in 6G communication impose stringent requirements for low latency, high reliability, and privacy preservation. Generative large language mode…
eess.SP2025
EdgePrompt: A Distributed Key-Value Inference Framework for LLMs in 6G Networks
Jiahong Ning, Pengyan Zhu, Ce Zheng +3
As sixth-generation (6G) networks advance, large language models (LLMs) are increasingly integrated into 6G infrastructure to enhance network management and intelligence. However,…