Edge Learning and Big AI Model in Wireless Communication and Networking
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Networks".
Deadline for manuscript submissions: 15 July 2024 | Viewed by 252
Special Issue Editors
Interests: joint sensing; computing and communication; semantic communication; federated learning; and RSMA
Interests: mobile edge computing; optimization method; machine learning; communication networks
Special Issue Information
Dear Colleagues,
Due to the explosive growth of data traffic in Internet-of-Thing (IoT) systems, machine learning and data-driven approaches are expected to become a key enabler to fuel the development of beyond 5G (B5G) wireless networks. Standard machine learning approaches require centralizing the training data on a single data center such as a cloud. However, due to privacy constraints and limited communication resources for data transmission, it is impractical for all wireless devices to transmit all of their collected data to a data center that can use the collected data to implement centralized machine learning algorithms for data analysis and inference. This has led to the emergence of a fast-growing research area, called edge learning, which can deeply integrate the two major areas: wireless communication and machine learning. Recently, the big AI model (or foundation model) has received a lot of attention, which is an emerging paradigm for building a unified machine learning system based on a generic class of AI models. As an example, the generative pre-trained transformer (GPT), has been successfully applied to natural language processing and many other computational tasks. Thereby, we seek to bring together researchers from academia and industry to introduce to the communications community the latest advances in edge learning and big AI models.
Dr. Zhaohui Yang
Dr. Zhiyang Li
Dr. Wanli Ni
Guest Editors
Manuscript Submission Information
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Keywords
- big AI model
- edge learning
- 6G
- intelligent communication
- joint learning and communication
