报告题目:Intelligent Autonomous IoT Systems with Federated Learning
报 告 人:Mohsen Guizani, Professor and IEEE Fellow, Machine Learning Department, MBZUAI, UAE
报告时间:2025年9月22日(星期一)15:30-16:30
报告地点:扬子津校区信息与人工智能学院305会议室
主办单位:信息与人工智能学院(工业软件学院)、江苏省知识管理与智能服务工程研究中心、科学技术处
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报告简介:To meet the diverse requirements for intelligent autonomous IoT systems and ensure privacy, the concept of Federated Learning (FL) has been proposed and used. An IoT using computing edge technologies, security related technologies and machine learning, to enable smart autonomous systems is envisioned. So, FL has provided a platform in many of these applications to protect the data and reduce latency. These smart services/applications rely on efficient computation and communication resources. In this talk, we showcase our research activities that will contribute to these efforts and advocate possible solutions using these models.

专家简介:Mohsen Guizani (Fellow, IEEE) received the BS (with distinction), MS and PhD degrees in Electrical and Computer engineering from Syracuse University, Syracuse, NY, USA. He is currently a Professor of Machine Learning at the Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI), Abu Dhabi, UAE. Previously, he worked in different institutions in the USA. His research interests include applied machine learning and artificial intelligence, smart city, Internet of Things (IoT), intelligent autonomous systems, and cybersecurity. He became an IEEE Fellow in 2009 and was listed as a Clarivate Analytics Highly Cited Researcher in Computer Science, 2019 to 2022. Dr. Guizani has won several research awards including the “2015 IEEE Communications Society Best Survey Paper Award”, the Best ComSoc Journal Paper Award in 2021 as well 5 Best Paper Awards from ICC and Globecom Conferences. He is the author of 11 books, more than 1000 publications and several US patents. He is also the recipient of the 2017 IEEE Communications Society Wireless Technical Committee (WTC) Recognition Award, the 2018 AdHoc Technical Committee Recognition Award, and the 2019 IEEE Communications and Information Security Technical Recognition (CISTC) Award. He served as the Editor-in-Chief of IEEE Network and is currently serving on the Editorial Boards of many IEEE Transactions and Magazines. He was the Chair of the IEEE Communications Society Wireless Technical Committee and the Chair of the TAOS Technical Committee. He served as the IEEE Computer Society Distinguished Speaker and is currently the IEEE ComSoc Distinguished Lecturer.