W4: Edge Learning over 5G Mobile Networks and Beyond
Co-chair: Kaibin Huang, The University of Hong Kong, Hong Kong
Co-chair: Kai-Kit Wong, University College London, UK
Co-chair: Zhaoyang Zhang, Zhejiang University, China
Co-chair: Mingzhe Chen, Ericsson , USA
Co-chair: Zhaohui Yang, Zhejiang University, China
Co-chair: Sihua Wang, Beijing University of Posts and Telecommunications, China
Technical Program Committee Co-chairs:
Yang Yang, Beijing University of Posts and Telecommunications, China
Rongpeng Li, Zhejiang University, China
Yaru Fu, Hong Kong Metropolitan University, Hong Kong
Abstract: This proposed half-day workshop will seek to bring together researchers and experts from academia, industry, and governmental agencies to discuss and promote the research and development needed to overcome the major challenges that pertain to this cutting-edge research topic.
Suitable topics for this workshop include, but are not limited to, the following areas:
• Secrecy of edge learning algorithms
• Over-the-air computation for edge learning
• Fundamental limits of edge learning systems
• Wireless network optimization for improving the performance of edge learning
• Data compression for edge learning
• Adaptive transmission for edge learning
• Techniques for wireless crowd labelling
• Modeling and performance analysis of edge learning networks
• Energy efficiency of implementing machine learning over wireless edge networks
• Ultra-low latency edge learning and inference
• Experiments and testbeds on edge learning
• Privacy and security issues in edge learning
• Edge learning for intelligent signal processing
• Edge learning for user behavior analysis and inference
• Distributed reinforcement learning for network decision making, network control, and management
Co-chair Bios:
Kaibin Huang
Bio: Kaibin Huang (Fellow, IEEE) received the B.Eng. and M.Eng. degrees in electrical engineering from the National University of Singapore, Singapore, and the Ph.D. degree in electrical engineering from The University of Texas at Austin, Austin, TX, USA. He is currently a Professor and an Associate Head with the Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong. He was the recipient of the IEEE Communication Society’s 2021 Best Survey Paper, 2019 Best Tutorial Paper, 2019 Asia–Pacific Outstanding Paper, 2015 Asia– Pacific Best Paper Award, and Best Paper Awards at IEEE GLOBECOM 2006 and IEEE/CIC ICCC 2018. He was also the recipient of the Outstanding Teaching Award from Yonsei University, Seoul, South Korea, in 2011. He has been named as a Highly Cited Researcher by the Clarivate Analytics in 2019–2021, and awarded a Research Fellowship by Hong Kong Research Grants Council. He was the Lead Chair of the Wireless Communications Symposium of IEEE Globecom 2017 and Communication Theory Symposium of IEEE GLOBECOM 2014, and TPC Co-chair of IEEE PIMRC 2017 and IEEE CTW 2023 and 2013. He is also the Executive Editor of IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, an Associate Editor for IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, and the Area Editor of IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING. He was on the Editorial Board of IEEE WIRELESS COMMUNICATIONS LETTERS. He has guest edited special issues of IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, and IEEE Communications Magazine. He is also a Distinguished Lecturer of the IEEE Communications Society and the IEEE Vehicular Technology Society.
Kai-Kit Wong
Bio: Kai-Kit Wong (Fellow, IEEE) received the B.Eng., M.Phil., and Ph.D. degrees in electrical and electronic engineering from The Hong Kong University of Science and Technology, Hong Kong, in 1996, 1998, and 2001, respectively. After graduation, he took up academic and research positions at The University of Hong Kong; Lucent Technologies; Bell-Labs, Holmdel; the Smart Antennas Research Group, Stanford University; and the University of Hull, U.K. He is currently the Chair of wireless communications with the Department of Electronic and Electrical Engineering, University College London, U.K. His current research interests include 5G and beyond mobile communications, including topics such as massive MIMO, full-duplex communications, millimeter-wave communications, edge caching and fog networking, physical layer security, wireless power transfer and mobile computing, V2X communications, and of course cognitive radios. His few other unconventional research topics that he has set his heart on, including for example, fluid antenna communications systems, and team optimization. He is a fellow of IET. He was a co-recipient of the 2013 IEEE SIGNAL PROCESSING LETTERS Best Paper Award and the 2000 IEEE VTS Japan Chapter Award at the IEEE Vehicular Technology Conference in Japan, in 2000, and a few other international best paper awards. He is also on the Editorial Board of several international journals. He has been serving as a Senior Editor for IEEE COMMUNICATIONS LETTERS since 2012 and IEEE WIRELESS COMMUNICATIONS LETTERS since 2016. He is also an Area Editor of IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS. He had also previously served as an Associate Editor for IEEE SIGNAL PROCESSING LETTERS from 2009 to 2012 and an Editor for IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS from 2005 to 2011. He was also a Guest Editor for the Special Issue on Virtual MIMO of the IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS in 2013. He is currently a Guest Editor for the Special Issue on Physical Layer Security for 5G of the IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS.
Zhaoyang Zhang
Bio: Zhaoyang Zhang (Senior Member, IEEE) received the Ph.D. degree from Zhejiang University, Hangzhou, China, in 1998. He is currently a Qiushi Distinguished Professor with Zhejiang University. His current research interests include fundamental aspects of wireless communications and networking, such as information theory and coding, network signal processing and distributed learning, AI-empowered communications and networking, network intelligence with synergetic sensing, and computation and communication. He has published more than 300 peer-reviewed international journal articles and conference papers, including six conference best papers. He was awarded the National Natural Science Fund for Outstanding Young Scholars by NSFC in 2017. He is serving as an Editor for IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, IEEE TRANSACTIONS ON COMMUNICATIONS, and IET Communications. He has served as a General Chair, a TPC Co-Chair or a Symposium Co- Chair for WCSP 2013/2018, Globecom 2014 Wireless Communications Symposium, and VTC-Spring 2017 Workshop HMWC, and so on.
Mingzhe Chen
Bio: Mingzhe Chen (Member, IEEE) received the Ph.D. degree from the Beijing University of Posts and Telecommunications, Beijing, China, in 2019. From 2016 to 2019, he was a Visiting Researcher at the Department of Electrical and Computer Engineering, Virginia Tech. From 2019 to 2022, he was a Post-Doctoral Research Associate with the Department of Electrical and Computer Engineering, Princeton University. He is currently an AI researcher at Ericsson US. His research interests include federated learning, reinforcement learning, virtual reality, unmanned aerial vehicles, and wireless networks. He was a recipient of the 2021 IEEE ComSoc Young Author Best Paper Award. He received three conference best paper awards at IEEE ICC in 2020, IEEE GLOBECOM in 2020, and IEEE WCNC in 2021. He currently serves as an Associate Editor of IEEE Transactions on Green Communications and Networking and a Guest Editor for IEEE Journal on Selected Areas in Communications (JSAC) Special Issue on “Distributed learning over wireless edge networks.”
Zhaohui Yang
Bio: Zhaohui Yang received the B.S. degree in information science and engineering from Chien-Shiung Wu Honors College, Southeast University, Nanjing, China, in June 2014, and the Ph.D. degree in communication and information system with the National Mobile Communications Research Laboratory, Southeast University, Nanjing, China, in May 2018. From 2018 to 2020, he was a postdoctoral research associate with the Center for Telecommunications Research, Department of Informatics, King’s College London, UK. From 2020 to 2022, he was a research fellow with the Department of Electronic and Electrical Engineering, University College London, UK. He is currently a ZJU young professor with College of Information Science and Electronic Engineering Zhejiang Key Lab of Information Processing Communication and Networking, Zhejiang University, and also a research scientist with Zhejiang Lab. He is an Associate Editor for the IEEE Communications Letters, IET Communications and EURASIP Journal on Wireless Communications and Networking.
Sihua Wang
Bio: Sihua Wang received the Ph.D. degree from the Beijing University of Posts and Telecommunications, Beijing, China, in 2021. He is currently a Postdoctoral Researcher with the School of Computer Science, National Pilot Software Engineering School, Beijing University of Posts and Telecommunications, Beijing, China. His research interests include mobile edge computing, resource allocation, and machine learning in wireless networks.
Deadlines:
Workshop paper submissions due: 14 August 2022
Acceptance notification: 20 August 2022
Final paper submission due: 24 August 2022
To submit a paper to this workshop, please visit: https://vtc2022f-rr-wks.trackchair.com/track/2130