Guest Editors
Dr. Ji Su Park
Email: jisupark@jj.ac.kr
Affiliation: Department of Computer Science Engineering, Jeonju University, Jeonju, 55069, Republic of Korea
Homepage:
Research Interests: IIoT, Cloud Computing, Mobile computing
Dr. Yan Li
Email: leeyeon@inha.ac.kr
Affiliation: Department of Electrical and Computer Engineering, Inha University, Incheon, 22212, Republic of Korea
Homepage:
Research Interests: Deep Learning, Database, IoT, Computer Vision
Summary
The recent advancements in smart devices, mobile networks, and computing technologies are ushering us into a new era of Convergence ICT. To enable these smart devices to provide intelligent services, machine learning techniques are essential for training powerful predictive models. A common approach involves collecting distributed user data to a central cloud for deep learning model training. However, transferring massive amounts of data to the cloud center can cause significant transmission pressure on the backbone network. Additionally, increasing concerns about data privacy and the enforcement of privacy protection laws make it impractical to transmit data from end devices to the cloud.
Despite these advancements, existing AI techniques face several limitations that require novel solutions to better comprehend and improve their potential for decision-making in various real-world applications. Key challenges for employing diverse AI techniques include network management, communication efficiency, client selection and scheduling, resource management, security and privacy concerns, incentive mechanisms, and service management and pricing. Addressing these challenges calls for various techniques, including but not limited to:
· Data augmentation
· Active learning
· Multi-task learning
· Knowledge distillation
· Model compression
· Game theory
· Trust and reputation systems
· Multi-objective optimization
· Reinforcement learning
· AI based algorithm/method in Convergence ICT
· Privacy and Security in Convergence ICT
· Data Analysis in Convergence ICT
Keywords
Convergence ICT, AI Techniques, Security, Data Analysis
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