Program

13:30pm-14:00pm	Registration & Welcome Refreshments!
	Monday, December 1st \| Half-day Workshop (Afternoon) Location: Room 2504

14:00pm-14:10pm	Opening Remarks
	Introduction to the organizers and the goals of the workshop

14:10pm-14:40pm	Keynote 1
	Speaker: Dr. Mu Yuan (The Chinese University of Hong Kong)
	Topic: Co-designing the Edge and Cloud for Scalable and Sceure AI Inference

14:40pm-15:10pm	Keynote 2
	Dr. Wentao Xie (The Hong Kong University of Science and Technology)
	Topic: Decoding Your Body with Ubiquitous Sensing

15:10pm-15:30pm

Afternoon Coffee Break

15:30pm-16:50pm

Presentation Session

[1] A Lightweight Generative Large Language Model (LLM)-based Internet of Things (IoT) Networking Framework for Edge-Cloud Collaboration
[2] A Novel RSMA for Collaborative Perception in Vehicle-Road-Cloud Framework
[3] [Best Paper] ECSAM: An Edge-cloud Video Analytics Architecture for the Segment Anything Model
[4] Cloud-Edge Collaborative Semantic Segmentation with Complexity-Aware Inference
[5] Comparative Performance and Cost Analysis of Computer Vision in Edge-Cloud Continuum
[6] ED-Res: Splitting ResNet with Collaborate Distributed Inference on Edge Devices Best Paper Award

16:50pm-17:00pm	Closing Remarks
	Outlook on the future of Edge-Cloud Collaboration + AI integration
	Summary of key takeaways from the sessions. Final thoughts on emerging trends, opportunities, and challenges in integrating AI with edge-cloud systems. Open discussion on potential collaboration and future events.