Edge Intelligence in the Making Optimization, Deep Learning, and Applications

Sen Lin, Arizona State University
Sen Lin received his B.Eng. degree in Electrical Engineering from Zhejiang University, Hangzhou, China, in 2013, and his M.S. degree in Telecommunications from The Hong Kong University of Science and Technology, Hong Kong, in 2014. Currently, he is pursuing a Ph.D. degree at the School of Electrical, Computer, and Energy Engineering at Arizona State University, Tempe, AZ, USA. His current research interests include statistical machine learning, reinforcement learning, and edge computing.

Zhi Zhou, Sun Yat-sen University
Zhi Zhou received B.S., M.E., and Ph.D. degrees in 2012, 2014, and 2017, respectively, all from the School of Computer Science and Technology at Huazhong University of Science and Technology (HUST), Wuhan, China. He is currently a research fellow in the School of Data and Computer Science at Sun Yat-sen University, Guangzhou, China. In 2016, he was a Visiting Scholar at University of Göttingen. He was nominated for the 2019 CCF Outstanding Doctoral Dissertation Award, the sole recipient of the 2018 ACM Wuhan & Hubei Computer Society Doctoral Dissertation Award, and a recipient of the Best Paper Award of IEEE UIC 2018. His research interests include edge computing, cloud computing, and distributed systems.

Zhaofeng Zhang, Arizona State University
Zhaofeng Zhang received his B.Eng. degree in Electrical Engineering from Huazhong University of Science and Technology, Wuhan, China, in 2015, and his M.S. degree in Electrical Engineering from Arizona State University, Tempe, AZ, USA, in 2017. Currently, he is pursuing a Ph.D. degree at the School of Electrical, Computer, and Energy Engineering in Arizona State University, Tempe, AZ, USA. His current research interests include edge computing, statistical machine learning, and optimization.

Xu Chen, Sun Yat-sen University
Xu Chen received a Ph.D. degree in Information Engineering from the Chinese University of Hong Kong, in 2012. He is a Full Professor with Sun Yat-sen University, Guangzhou, China, and the Vice Director of the National and Local Joint Engineering Laboratory of Digital Home Interactive Applications. He was a Post-Doctoral Research Associate with Arizona State University, Tempe, USA, from 2012–2014, and a Humboldt Scholar Fellow with the Institute of Computer Science at the University of Göttingen, Germany, from 2014– 2016. He was a recipient of the Prestigious Humboldt Research Fellowship awarded by the Alexander von Humboldt Foundation of Germany, the 2014 Hong Kong Young Scientist Runner-Up Award, the 2017 IEEE Communication Society Asia–Pacific Outstanding Young Researcher Award, the 2017 IEEE ComSoc Young Professional Best Paper Award, the Honorable Mention Award at the 2010 IEEE international conference on Intelligence and Security Informatics, the Best Paper Runner-Up Award at the 2014 IEEE International Conference on Computer Communications (INFOCOM), and the Best Paper Award at the 2017 IEEE International Conference on Communications. He is currently an Area Editor at the IEEE Open Journal of the Communications Society, an Associate Editor of the IEEE Transactions Wireless Communications, IEEE Internet of Things Journal, and IEEE Journal on Selected Areas in Communications ( JSAC) Series on Network Softwarization and Enablers.

Junshan Zhang, Arizona State University
Junshan Zhang received his Ph.D. degree from the School of ECE at Purdue University, in 2000. He joined the School of ECEE at Arizona State University in August 2000 and has been Fulton Chair Professor there since 2015. His research interests fall in the general field of information networks and data science, including communication networks, edge computing and machine learning for IoT, mobile social networks, and smart grid. His current research focuses on fundamental problems in information networks and data science, including edge computing and machine learning in IoT and 5G, IoT data privacy/security, information theory, stochastic modeling, and control for smart grid. Prof. Zhang is a Fellow of the IEEE and a recipient of the ONR Young Investigator Award in 2005 and the NSF CAREER award in 2003. He received the IEEE Wireless Communication Technical Committee Recognition Award in 2016. His papers have won a few awards, including the Best Student Paper Award at WiOPT 2018, the Kenneth C. Sevcik Outstanding Student Paper Award at ACM SIGMETRICS/IFIP Performance 2016, the Best Paper Runner-up Award at IEEE INFOCOM 2009 and IEEE INFOCOM 2014, and the Best Paper Award at IEEE ICC 2008 and ICC 2017. Building on his research findings, he co-founded Smartiply Inc, a Fog Computing startup company delivering boosted network connectivity and embedded artificial intelligence. Prof. Zhang was TPC co-chair for a number of major conferences in communication networks, including IEEE INFOCOM 2012 and ACM MOBIHOC 2015. He was the general chair for ACM/IEEE SEC 2017, WiOPT 2016, and IEEE Communication Theory Workshop 2007. He was a Distinguished Lecturer of the IEEE Communications Society. He is currently serving as Editor-in-chief for IEEE Transactions on Wireless Communications and a senior editor for IEEE/ACM Transactions on Networking.

Introduction to Edge Intelligence
Edge Intelligence via Model Training
Edge-Cloud Collaborative Learning via Distributionally Robust Optimization
Hierarchical Mobile-Edge-Cloud Model Training with Hybrid Parallelism
Edge Intelligence via Model Inference
On-Demand Accelerating Deep Neural Network Inference via Edge Computing
Applications, Marketplaces, and Future Directions of Edge Intelligence
Bibliography
Authors' Biographies.