Presenters:
Diep N. Nguyen, University of Technology Sydney, Australia
Dinh Thai Hoang, University of Technology Sydney, Australia
Benedetta Picano, University of Pisa,Italy
Abstract:
The paradigm of generative artificial intelligence (GenAI) refers to a branch of artificial intelligence that focuses on creating models that can generate new and original content, such as text, images, videos, music, or even applications. Unlike traditional/discriminative AI that typically aims to perform specific tasks, such as classification or prediction, GenAI aims to produce new content/knowledge that resembles the training data it was exposed to. This tutorial first discusses implications of GenAI as a service on cyberinfrastructure. We then discuss enabling technologies to democratize cyberinfrastructure to pave the way for GenAI as a Service. These include recent advances in smart/intelligent edge networking architectures, privacy-preserving methods to train GenAI models, model quantization, and secure data/resource sharing frameworks that incentives users/providers to contribute data, resources for the model training and tuning process. In addition, we will cover the emerging concept of instilled reasoning, illustrating how the combination of structured reasoning approaches and GenAI can enhance performance, explainability, and trustworthiness in wireless network applications. After that, we discuss a few study cases of GenAI applications. Finally, we highlight important challenges, open issues, and future research directions.
Biographies:
Diep N. Nguyen (Senior Member, IEEE) received the M.E. degree in electrical and computer engineering from the University of California at San Diego (UCSD), La Jolla, CA, USA, in 2008, and the Ph.D. degree in electrical and computer engineering from The University of Arizona (UA), Tucson, AZ, USA, in 2013. He is currently the Head of 5G/6G Wireless Communications and Networking Lab, Director of Agile Communications and Computing group, University of Technology Sydney (UTS), Sydney, Australia. Before joining UTS, he was a DECRA Research Fellow with Macquarie University, Macquarie Park, NSW, Australia, and a Member of the Technical Staff with Broadcom Corporation, CA, USA, and ARCON Corporation, Boston, MA, USA, and consulting the Federal Administration of Aviation, Washington, DC, USA, on turning detection of UAVs and aircraft, and the U.S. Air Force Research Laboratory, USA, on anti-jamming. His research interests include computer networking, wireless communications, and machine learning application, with emphasis on systems’ performance and security/privacy. Dr. Nguyen received several awards from LG Electronics, UCSD, UA, the U.S. National Science Foundation, and the Australian Research Council. He has served on the Editorial Boards of the IEEE Transactions on Mobile Computing, IEEE Communications Surveys & Tutorials (COMST), IEEE Open Journal of the Communications Society.
Dinh Thai Hoang is currently a faculty member at the School of Electrical and Data Engineering, University of Technology Sydney, Australia. He received his Ph.D. in Computer Science and Engineering from the Nanyang Technological University, Singapore 2016. His research interests include emerging wireless communications and networking topics, especially machine learning applications in networking, edge computing, and cybersecurity. He has received several precious awards, including the Australian Research Council Discovery Early Career Researcher Award, IEEE TCSC Award for Excellence in Scalable Computing for Contributions on “Intelligent Mobile Edge Computing Systems” (Early Career Researcher), IEEE Asia-Pacific Board (APB) Outstanding Paper Award 2022, and IEEE Communications Society Best Survey Paper Award 2023. He is currently an Editor of IEEE TMC, IEEE TWC, IEEE TCCN, IEEE TVT, and IEEE COMST.
Benedetta Picano (Member, IEEE) received the M.E. degree in Computer Engineering at the University of Florence,Italy, in 2016, and the Ph.D. degree in Information Engineering at the University of Florence, Italy, in 2020. She was a visiting scholar at the Houston University, Houston, USA. Presently, she is a visiting researcher at the University of Pisa, Italy. Her research interests include computer networking, wireless communications, and machine learning application, with emphasis on system performance optimization and generation of multimodal trajectories with generative flow networks. Dr. Picano served on the Editorial Boards of the IEEE Transactions on Vehicular Technology, Peer-to-peer Networking and Applications journal, and she was Guest Editor for the Special Issue: Applications of Internet of Things Networks in 5G and Beyond, in Sensors. Finally, she was Workshop Program Chair for ISSRE 2023, and Co-chair of Track 11: Wireless Networks: Protocols, Security and Services, for IEEE Vehicular Technology Conference 2024.