IoT Thrust Seminar | - IoT Thrust Seminar | Distributed Intelligence: From An Algorithmic Perspective
Supporting the below United Nations Sustainable Development Goals:支持以下聯合國可持續發展目標：支持以下联合国可持续发展目标：
Traditional machine learning algorithms entail resourceful and reliable computation infrastructure, whereas their efficacy cannot be ensured in many emerging distributed systems (e.g., sensor networks, vehicular networks, edge networks etc.). Deploying machine learning algorithms in these distributed systems entail many new concerns including fault tolerance, resource efficiency, privacy preservation etc. Furthermore, recent years have witnessed the development of machine learning algorithms, which provides a new way to improve the intellectuality of the distributed systems such that the efficacy of the systems can be guaranteed in application scenarios with uncertainty. In this talk, by following the above roadmap, I will highlight several research projects conducted by myself and my collaborators in the areas of distributed intelligence, mainly from an algorithmic perspective.
Feng Li received his PhD degree in Computer Science from Nanyang Technological University, Singapore, in 2015. He got his MS and BS degrees from Shandong University in 2010 and Shandong Normal University in 2007, respectively. From 2014-2015, he was a research fellow in National University of Singapore, Singapore. After that, he jointed School of Computer Science and Technology, Shandong University, China, where he is currently a professor. His research interests include distributed algorithms and systems, machine learning, and edge computing. He received the Best Paper Award from IEEE IPCCC 2020 and Shandong Province Science and Technology Progress Award. He also received 2020 ACM China SIGAPP Rising Star Award due to his contributions in sensor networks, Internet of Things and their applications. He is guest editor for Computer Networks Journal and Computer Communications Journal. He also serves in the technical committees of IEEE ICC, IEEE GLOBECOM, and IEEE IPCCC etc.