2023 International Conference on Communication Networks and Machine Learning(CNML 2023)

Prof. Song Guo


Prof. Song Guo

The Hong Kong Polytechnic University


ACM Distinguished Member


Prof. Song Guo is a Full Professor leading the Research Group of Networking and Mobile Computing at the Department of Computing, The Hong Kong Polytechnic University. He also holds a Changjiang Chair Professorship awarded by the Ministry of Education of China. Prof. Guo is a Fellow of the Canadian Academy of Engineering (FCAE), Fellow of the IEEE (FIEEE), and Member of Academia Europaea (MAE). He is the current Editor-in-Chief of IEEE Open Journal of the Computer Society.

Prof. Guo is the founding director of the Edge Intelligence Lab at The Hong Kong Polytechnic University (PEIL). His research interests are mainly in edge AI, 6G, big data and machine learning, mobile computing, and distributed systems. Prof. Guo's research has been sponsored by RGC, NSFC, ITF, MOST, NRC, JSPS, MIC, JST, industry, etc. He published many papers in top venues with wide impact in these areas and was recognized as a Highly Cited Researcher (Clarivate Web of Science). He is the recipient of the 2020 Best Paper Award for IEEE Transactions on Computers, 2019 IEEE TCBD Best Conference Paper Award, 2018 IEEE TCGCC Best Magazine Paper Award, 2019 & 2017 IEEE Systems Journal Annual Best Paper Award, and other 8 Best Paper Awards from IEEE/ACM conferences. He also received the Faculty Award for Outstanding Achievement in Research and Scholarly Activities twice.

Prof. Guo served for IEEE Communications Society as a Distinguished Lecturer, Member of Board of Governors, Director of Membership Services, and Chair of Technical Committee of Space and Satellite Communications. He has also served for IEEE Computer Society on Fellow Evaluation Committee, Transactions Operations Committee, Steering Committee of IEEE Transactions on Cloud Computing, Editor-in-Chief Search Committee, etc. Prof. Guo has been named on editorial board of a number of prestigious international journals like IEEE Transactions on Computers, IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Cloud Computing, IEEE Transactions on Emerging Topics in Computing, IEEE Transactions on Sustainable Computing, ACM Computing Surveys, IEEE Internet of Things Journal, etc. He has also served as chair of organizing and technical committees of numerous international conferences. Prof. Guo is a frequently invited expert for various national and international grant reviews. He is currently on RGC engineering panel.

Speech title: Building Federated Edge Artificial Intelligence Cyberinfrastructure to Embrace the New Era of Foundation Models

Abstract: The unprecedented impact of foundation model technology, represented by ChatGPT, is driving a revolutionary paradigm shift in AI, bringing new opportunities and challenges to many industries. However, the high training, inference and maintenance costs of foundation model technologies limit their widespread adoption. Considering that edge computing power (e.g., edge servers, personal PCs, etc.), which accounts for about 90% of the network, has not yet been effectively used, this report focuses on a new federated edge AI cyberinfrastructure, and leverages the natural advantages of edge computing power in terms of cost, latency, and privacy, so as to efficiently aggregate the distributed, heterogeneous, and multi-party computing power and become an important computing power supplier in the computing power network, and promote the foundation model technology-based intelligent upgrading of various industries.