Chair
Assoc. Prof. Chao Fang Beijing University of Technology, China
Co-Chairs

Assoc. Prof. Shoulu Hou Beijing Information Science and Technology University, China		Jiabao Chen Beijing University of Technology, China

The rapid evolution of Large Language Models (LLMs) has revolutionized artificial intelligence, yet deploying these computation-intensive models on resource-constrained edge devices remains a significant challenge. This special session aims to explore the collaboration between LLMs and Edge Computing to achieve low-latency, privacy-preserving, and bandwidth-efficient intelligence. We invite researchers to discuss the architectural innovations and optimization techniques required to bridge the gap between massive models and edge infrastructure. Topics of interest include, but are not limited to:
l Lightweight LLMs for edge deployment
l Distributed inference for edge intelligence
l Parameter-efficient techniques for LLM adaptation
l Allocation and optimization for edge resources
l AI-assisted edge communications and services
l Privacy-preserving techniques for LLM inference at the edge
l Use cases of edge LLMs in IoT, smart cities, and autonomous systems

Submission Link: https://www.zmeeting.org/submission/ictc2026 (Choose Special Session 5 to Submit)

Special Session Organizers Biography:

Chao Fang received his B.S degree in Information Engineering from Wuhan University of Technology, Wuhan, China, in 2009, and the Ph.D. degree with the State Key Laboratory of Networking and Switching Technology in Information and Communication Engineering from Beijing University of Posts and Te4lecommunications, Beijing, China, in 2015. He joined the Beijing University of Technology in 2016 and now is an associate professor. From August 2013 to August 2014, he had been funded by China Scholarship Council to visit Carleton University, Ottawa, ON, Canada, as a joint doctorate. Moreover, he is the visiting scholars of University of Technology Sydney, Commonwealth Scientific and Industrial Research Organization, Hong Kong Polytechnic University, Kyoto University, Muroran Institute of Technology, and Queen Mary University of London. Dr. Fang is the senior member of IEEE, and the vice chair of technical affairs committee in IEEE ComSoc Asia/Pacific Region (2022-2023). Moreover, he served as the Technical Program Committee Chair of SPCNC 2024, the Session Chairs of ICC 2015, ICCC 2023, and WCNC 2024, Workshop Chairs of ICFEICT (2022-2024) and ICNCIC (2023-2024), and Poster Co-Chair of HotICN 2018. He won the Best Paper Award of IEEE ICFEICT 2022 and 2024, ICCSN 2024, and NCIC 2024. His current research interests include intelligent analysis and control, and intelligent cloud-edge-terminal cooperation computing.

Shoulu Hou received the Ph.D. degree in computer science and technology from the Beijing University of Posts and Telecommunications in July 2020. She is an Associate Professor with the Computer School at Beijing Information Science and Technology University. Her current research interests include edge computing and service computing.

Jiabao Chen received the M.S. degree in Information and Communication Engineering from the Nanchang Hangkong University in July 2023. He is currently a Ph.D. candidate with the School of Computer at Beijing University of Technology. His current research interests include distributed computing for large-scale models and cooperative control of multi-UAVs.