Edge-cloud networks connect a wide range of systems and devices, ranging from large data centers to small IoT devices. The potential advantages of adopting edge and cloud networking include the quick adaptation of new technologies, including a faster rollout and adoption of software and feature updates, as well as better management of various resources, including network and edge devices. This talk provides an overview of some challenges in efficient support for running AI/ML algorithms in edge-cloud networks. Our focus is on low latency, connectivity and local data processing while still achieving efficiency. We will look at two specific examples of AI/ML implementations: one is the optimal offloading of AI/ML code from IoT/edge devices to the cloud and the other is exploring network topology and connectivity for efficient decentralized federated learning.
Jie Wu is Laura H. Carnell Professor at Temple University and the director of the Center for Networked Computing (CNC). He served as chair of the Department of Computer and Information Sciences from the summer of 2009 to the summer of 2016 and associate vice provost for International Affairs from the fall of 2015 to the summer of 2017. Prior to joining Temple University, he was a program director at the National Science Foundation and was a distinguished professor at Florida Atlantic University, where he received his Ph.D. in 1989. His current research interests include mobile computing and wireless networks, routing protocols, network trust and security, distributed algorithms, applied machine learning and cloud computing. Dr. Wu regularly published in scholarly journals, conference proceedings and books. He serves on several editorial boards, including IEEE Transactions on Service Computing and Journal of Computer Science and Technology. Dr. Wu is/was general chair/co-chair for IEEE DCOSS’09, IEEE ICDCS’13, ICPP’16, IEEE CNS’16, WiOpt’21, ICDCN’22, IEEE IPDPS'23, and ACM MobiHoc'23 as well as program chair/co-chair for IEEE MASS’04, IEEE INFORCOM’11, CCF CNCC’13 and ICCCN’20. He was an IEEE Computer Society Distinguished Visitor, ACM Distinguished Speaker and chair for the IEEE Technical Committee on Distributed Processing (TCDP). Dr. Wu is a fellow of the AAAS and a fellow of the IEEE. He is the recipient of the 2011 China Computer Federation (CCF) Overseas Outstanding Achievement Award. He is a member of the Academia Europaea (MAE).