信息与智能大讲堂
讲座题目：Unlocking the Potential of Federated Learning: A Path to Future Network Intelligence
主讲嘉宾：Prof. Tony Q.S. Quek，新加坡科技设计大学
讲座时间：2024年8月22日 星期四 15：30
腾讯会议：764-214-811
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内容提要：
Machine learning, particularly distributed learning, stands as the cornerstone in the vision of future network intelligence, owing to its remarkable capability of addressing intricate computational tasks and modeling complexities. In this talk, we provide a comprehensive coverage of a distributed learning paradigm rooted in federated learning. Specifically, we start with a brief overview of federated learning and some recent advances in this topic.
嘉宾简介：
Tony Q.S. Quek received the B.E. and M.E. degrees in Electrical and Electronics Engineering from Tokyo Institute of Technology, respectively. At Massachusetts Institute of Technology, he earned the Ph.D. in Electrical Engineering and Computer Science. Currently, he is the Cheng Tsang Man Chair Professor with Singapore University of Technology and Design (SUTD) and ST Engineering Distinguished Professor. He also serves as the Head of ISTD Pillar, Director for Future Communications R&D Programme, Sector Lead for SUTD AI Program, and the Deputy Director of SUTD-ZJU IDEA. His current research topics include wireless communications and networking, 6G, network intelligence, non-terrestrial networks, and open radio access network.
Dr. Quek has been actively involved in organizing and chairing sessions and has served as a TPC member in numerous international conferences. He is currently serving as an Area Editor for the IEEE Transactions on Wireless Communications. He was an Executive Editorial Committee Member of the IEEE Transactions on Wireless Communications, an Editor of the IEEE Transactions on Communications, and an Editor of the IEEE Wireless Communications Letters.
Dr. Quek received the 2008 Philip Yeo Prize for Outstanding Achievement in Research, the 2012 IEEE William R. Bennett Prize, the 2016 IEEE Signal Processing Society Young Author Best Paper Award, the 2017 CTTC Early Achievement Award, the 2017 IEEE ComSoc AP Outstanding Paper Award, the 2020 IEEE Communications Society Young Author Best Paper Award, the 2020 IEEE Stephen O. Rice Prize, the 2020 Nokia Visiting Professorship, and the the 2022 IEEE Signal Processing Society Best Paper Award. He is a Fellow of IEEE and a Fellow of the Academy of Engineering Singapore.
主办单位：
《Journal of Information and Intelligence》
《西安电子科技大学学报》
《西安电子科技大学学报（社会科学版）》
《电子科技》
协办单位：
西安电子科技大学通信工程学院
致谢：
中国科技期刊卓越行动计划高起点新刊项目
联系我们：
《西安电子科技大学学报》编辑部 电话：029-88202853 邮箱：[email protected]
《信息与智能学报（英文）》编辑部 电话：029-88201709 邮箱：[email protected]
