International Conference on Cyber-enabled Distributed Computing and Knowledge Discovery (CyberC-2024) Workshop on
Advanced Optimization and Learning for
Distributed and Intelligent Systems
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Call for Papers
Call for Papers
Fueled by the seamless integration of wireless communications, signal processing, edge computing, and artificial intelligence (AI), AI model training and inference can now be conducted over wireless networks, leveraging vast amounts of distributed data from heterogeneous users. This gives rise to distributed and intelligent systems, such as intelligent transportation, smart healthcare, and industrial IoT. Nevertheless, the imperfections and heterogeneity of these networks necessitate the optimization of data sensing, processing, transmission, and analytics to facilitate efficient distributed AI model training in distributed and intelligent systems. Moreover, the dynamic nature of system dynamics and user demands calls for the design of machine learning and optimization strategies that can achieve efficient, adaptive, and real-time AI model inference—a task that poses significant challenges. This workshop aims to convene experts and researchers from academia and industry to tackle both fundamental and practical issues related to advanced optimization and learning for distributed and intelligent systems.
The organizing committee cordially invites submissions of original, unpublished, high-quality research papers that contribute to the development of advanced optimization and learning for distributed and intelligent systems. Topics of interest include, but are not limited to:
Optimization theory and algorithms for distributed and intelligent systems
Deep learning theory and algorithms for distributed and intelligent systems
Statistical learning theory and algorithms for distributed and intelligent systems
Signal processing for distributed and intelligent systems
Deep reinforcement learning for distributed and intelligent systems
Bayesian optimization for distributed and intelligent systems
Distributed AI model training over dynamic wireless networks
Cloud-edge-device collaborative inference over wireless networks
Security and privacy-enhancing strategies in distributed and intelligent systems
Integrated sensing and communication for distributed and intelligent systems
Edge computing for distributed and intelligent systems
RIS-empowered distributed and intelligent systems
UAV-enabled distributed and intelligent systems
Space-air-ground integrated distributed and intelligent systems
Virtual reality and augmented reality in distributed and intelligent systems
Distributed and intelligent systems in IoV and IoT
Submission Details:
Submission Details:
Submission Link: https://edas.info/N32572
Format: We accept 4-page submissions following standard IEEE two-column format. Paper templates can be found at: https://www.ieee.org/conferences/publishing/templates.html.
Note: All accepted papers will be included in the Proceeding and be submitted to EI as other IEEE conferences. CyberC 2024 provides a special channel for you to submit your extended version to Electronics, an open-access journal by MDPI. After submission of a CyberC version, you can submit an extended version to the Journal after the conference. More details can be found at CyberC and Special Issue.
Key Dates
Key Dates
Submission deadline: 08/20/2024
Notification of acceptance: 09/10/2024
Registration due date: 09/20/2024
Camera-Ready Paper Submissions and Copyrights Due: 09/20/2024
Conference date: 10/24/2024-10/26/2024
Organizing Committee
Organizing Committee
Tsinghua University, China
University of Georgia, USA
HKUST (Guangzhou), China
HKUST (Guangzhou), China
HKUST (Guangzhou), China
ETH Zurich, Switzerland
Keynote Speakers
Keynote Speakers
Yuan Wu is currently an Associate Professor with the State Key Laboratory of Internet of Things for Smart City, University of Macau, Macao, China, and also with the Department of Computer and Information Science, University of Macau. He received the PhD degree in Electronic and Computer Engineering from the Hong Kong University of Science and Technology in 2010. His research interests include resource management for wireless networks, green communications and computing, edge computing and edge intelligence, and energy informatics. He received the Best Paper Award from the IEEE ICC’2016, IEEE TCGCC’2017, IWCMC’2021, and IEEE WCNC’2023. Dr. Wu is currently on the editorial board of IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING, and IEEE INTERNET OF THINGS JOURNAL.
Huaiguang Jiang is a tenured Professor of the School of Future Technology, South China University of Technology. He is now a standing committee member of Guangzhou Youth Federation and deputy director of Science and Technology Field, his research attention focuses on low-carbon intelligent energy and unmanned automation . He was selected as a National-level young talent, and has undertaken and participated in scientific research projects at national and other levels for many times, with a total project fund of more than 10 million RMB. As a senior member of IEEE, he has published more than 50 Chinese and English papers and works in related fields, with a total impact factor of more than 100, invited to publish 2 English academic monographs, participated in, chaired and organized the top Chinese and English conferences for many times, and was invited to review more than 20 top journals and top conferences in the industry.
TPC Members
TPC Members
Lu Bai, Shandong University
Shaoyi Du, Xian Jiaotong University
Ziwei Huang, Peking University
Xian Li, Shenzhen University
Zehong Lin, HKUST
Hang Liu, Cornell Tech
Konstantinos D. Polyzos, University of Minnesota
Alireza Sadeghi, University of Minnesota
Hanlin Tang, Huawei Tech
Xiao Wang, Anhui University
Xi Wei, Xian Jiaotong University
Yilang Zhang, University of Minnesota
Hao Zhou, University of McGill
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