Special Topic on Federated Learning over Wireless Networks
CUI Shuguang, YIN Changchuan, ZHU Guangxu
About author:CUI Shuguang received his PhD in electrical engineering from Stanford University, USA in 2005. Afterward, he has been working as an assistant, associate, full, Chair Professor in electrical and computer engineering at the University of Arizona (USA), Texas A&M University (USA), UC Davis (USA), and CUHK-Shenzhen (China), respectively. He has also served as the Executive Dean for the School of Science and Engineering at CUHK-Shenzhen and the Executive Vice Director at Shenzhen Research Institute of Big Data. His current research interests focus on data driven large-scale system control and resource management, large data set analysis, IoT system design, energy harvesting based communication system design, and cognitive network optimization. He was selected as the Thomson Reuters Highly Cited Researcher and listed in the World's Most Influential Scientific Minds by ScienceWatch in 2014. He was the recipient of the IEEE Signal Processing Society 2012 Best Paper Award. He has served as the general co-chair and TPC co-chair for many IEEE conferences. He has also been serving as the editor-in-chief for IEEE Transactions on Mobile Computing, area editor for IEEE Signal Processing Magazine, and associate editor for IEEE Transactions on Big Data, IEEE Transactions on Signal Processing, IEEE JSAC Series on Green Communications and Networking, and IEEE Transactions on Wireless Communications. He has been an elected member of the IEEE Signal Processing Society SPCOM Technical Committee (2009-2014) and the elected chair of IEEE ComSoc Wireless Technical Committee (2017-2018). He is a member of the Steering Committee for IEEE Transactions on Big Data and the Chair of the Steering Committee for IEEE Transactions on Cognitive Communications and Networking. He was also a member of the IEEE ComSoc Emerging Technology Committee. He was elected as an IEEE Fellow in 2013, an IEEE ComSoc Distinguished Lecturer in 2014, and an IEEE VT Society Distinguished Lecturer in 2019. He won the IEEE ICC best paper award, ICIP best paper finalist, and the IEEE Globecom best paper award all in 2020.|YIN Changchuan received his PhD degree in telecommunication engineering from Beijing University of Posts and Telecommunications, China in 1998. In 2004, he was a visiting scholar in the Faculty of Science, the University of Sydney, Australia. From 2007 to 2008, he held a visiting position with the Department of Electrical and Computer Engineering, Texas A&M University, USA. He is currently a professor with the School of Information and Communication Engineering, Beijing University of Posts and Telecommunications. His research interests include wireless networks and statistical signal processing. He was the co-recipient of the IEEE International Conference on Wireless Communications and Signal Processing Best Paper Award in 2009 and the IEEE Communications Society Young Author Best Paper Award in 2021. He has served as the symposium co-chair or TPC member for several IEEE flagship conferences (e.g., ICC, Globecom, ISIT, etc).|ZHU Guangxu received his BS and MS degrees from Zhejiang University, China and PhD degree from The University of Hong Kong, China, all in electronic and electrical engineering. He is now a research scientist with the Shenzhen Research Institute of Big Data. His research interests include edge intelligence, federated learning, and 5G/6G technologies. He is a recipient of the 2022 "AI 2000 Most Influential Scholar Award Honorable Mention", Hong Kong Postgraduate Fellowship (HKPF), Outstanding PhD Thesis Award from HKU, and the Best Paper Award from WCSP 2013. He served as a track/symposium/workshop co-chair of several IEEE conferences including IEEE PIMRC 2021, WCSP 2023, and IEEE Globecom 2023.