13th May (Room - Function Hall, 1/F, 12W, Hong Kong Science and Technology Park (HKSTP))

Please register for SenSys-ML here.
11:45am – 1:30pm
Lunch
1:30pm -1:35 pm
Introduction to Sensys-ML
1:35pm - 2:30 pm
Tutorial: Towards Robust and Heterogeneous Federated Learning
Dr Edith C.H. Ngai (The University of Hong Kong)
2:35pm - 3:00pm
LLMSense: Harnessing LLMs for High-level Reasoning Over Spatiotemporal Sensor Traces
Xiaomin Ouyang (University of California, Los Angeles),
Mani Srivastava (University of California, Los Angeles & Amazon AWS AI Labs),
3:00pm -3:30pm
Coffee Break
3:30pm - 4:00pm
FACC: A Flexible and Asynchronous Updating Strategy for Cooperative Edge Caching
Zeming Gao (Beijing University of Posts and Telecommunications),
Ye Tian (Beijing University of Posts and Telecommunications),
Mengyu Yang (Beijing University of Posts and Telecommunications),
Edith C.H. Ngai (The University of Hong Kong),
Lanshan Zhang (Beijing University of Posts and Telecommunications),
Wendong Wang (Beijing University of Posts and Telecommunications, P.R. China),
4:05pm - 4:30pm
Resource-Aware Split Federated Learning for Edge Intelligence
Amna Arouj (Queen Mary University of London),
Ahmed M. Abdelmoniem (Queen Mary University of London),
Ahmad Alhilal (The Hong Kong University of Science and Technology),
Linlin You (Sun Yat-Sen University),
Chen Wang (Huazhong University of Science and Technology),
4:35pm - 5:00pm
Advancements in Machine Learning in Sensor Systems: Insights from Sensys-ML and TinyML Communities
Poonam Yadav (University of York)
5:00pm - 5:30 pm
Invited talk / Closing remark