IoT Seminar | A Pathway towards Future Network Intelligence with Federated Learning – Personalized Services and Heterogeneous Deployment
Machine learning is playing an increasingly crucial role in the field of wireless communications due to its high efficiency in dealing with complex computations and models. Federated learning is a machine learning technique that allows multiple entities to train a model together while keeping their data decentralized. In this technique, each device shares its local model parameters instead of the entire dataset used to train it. In this talk, we provide a comprehensive coverage of federated learning and we specifically investigate federated learning from a practical perspective to investigate personalized services and heterogeneous deployment. Lastly, we will share about Singapore’s national Future Communications Research and Development Programme (FCP), which is hosted at Singapore University of Technology and Design.
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 Director of the Future Communications R&D Programme, the Head of ISTD Pillar, and the AI-on-RAN Working Group Chair in AI-RAN Alliance. His current research topics include wireless communications and networking, network intelligence, non-terrestrial networks, open radio access network, and 6G.
Dr. Quek is currently serving as an Area Editor for the IEEE Transactions on Wireless Communications. He 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, the 2022 IEEE Signal Processing Society Best Paper Award, and the 2024 IIT Bombay International Award For Excellence in Research in Engineering and Technology. He is an IEEE Fellow, a WWRF Fellow, and a Fellow of the Academy of Engineering Singapore.