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: closed (15 July 2024) | Viewed by 446
Special Issue Editors
Interests: intelligent communication and computing fusion system; wireless large model; edge learning; holographic communication
Special Issues, Collections and Topics in MDPI journals
Interests: mobile edge computing; optimization method; machine learning; communication networks
Interests: federated learning; reconfigurable intelligent surface; optimization theory; edge intelligence and distributed AI
Special Issues, Collections and Topics in MDPI journals
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
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- big AI model
- edge learning
- 6G
- intelligent communication
- joint learning and communication
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue polices can be found here.
