Dear Colleagues and Students,

The State Key Laboratory of Internet of Things for Smart City would like to invite you to join our “IOTSC Talk Series” on 02/04/2025 (Wednesday). We are pleased to invite Prof. Li Li from State Key Laboratory of Internet of Things for Smart City as the speaker.

Towards Memory-efficient Federated Learning on Mobile Devices 
Speaker: Prof. Li Li
Date: 02/04/2025 (Wednesday)
Time: 15:00 – 16:00
Language: English
Venue: N21-5007 (Exhibition Hall)

Abstract:
Federated Learning (FL) coordinates multiple mobile devices to collaboratively train a shared model while preserving data privacy. Most existing FL approaches simply assume that all the participating clients have sufficient resources to update the local model with their own private data. However, in real-world cases, a fundamental challenge that impedes the deployment of FL on mobile devices is memory limitation. During the local training process, the model weight, intermediate activation, and optimization states are mandated to be stored in the memory. Unfortunately, the memory limitation deteriorates the performance of FL from multiple perspectives. In this talk, we will first discuss the recent approaches proposed to effectively reduce the memory footprint during the training process while guaranteeing the model performance and training efficiency.

Speaker’s Bio:
Dr. Li Li is currently an Assistant Professor in University of Macau. He received his Ph.D. degree from the Ohio State University in 2018, the M.S. degree from the Ohio State University in 2014, and the B.S. degree from Tianjin University in 2011. He has research experience in different research institutions such as ShenZhen Institute of Technology, Chinese Academy of Science, Huawei Research and Microsoft Research. He has published in refereed journals and conference proceedings, such as MICRO, NIPS, ICML, KDD, INFOCOM, RTSS, CVPR, SENSYS, IJCAI, ICDCS, NDSS, MM, TMC, TDSC, TPDS, TNNLS, CIKM, ECAI.

For enquiries: Tel: 8822 9159
Email: frankielei@um.edu.mo

Best Regards,
State Key Laboratory of Internet of Things for Smart City