Distributed Machine Learning in Blockchain Assisted 5G Fixed Wireless Access Networks

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Microwave and Wireless Communications".

Deadline for manuscript submissions: 10 July 2025 | Viewed by 928

Special Issue Editors

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Guest Editor
Department of Computer Science and Engineering, Kalyani Government Engineering College, Kalyani 741235, India
Interests: blockchain; IoT; cognitive cloud computing; distributed systems
Department of Cybersecurity, School of Applied Computational Sciences (SACS), Meharry Medical College (MMC), Nashville, TN 37208, USA
Interests: cybersecurity; computer networks; wireless networks; information-centric networking and software-defined networking; machine intelligence
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Special Issue Information

Dear Colleagues,

Fixed wireless access (FWA) empowers network providers to provide ultra-high-speed connectivity to suburban and rural areas, serving home and business installations where the deployment of fiber is very costly. FWA is an efficient and scalable alternative to wired connections. Fifth-generation (5G) networks accelerate FWA. 5G network communication is one of the key enabling technologies of the future and current information society. 5G network systems will provide users with multi-Gbps data speed and allow new apps to operate on mobile devices. Distributed machine learning (DML) will become a crucial aspect of future 5G networks. Communication latency and network bandwidth will no longer be barriers for mobile users on 5G networks. Almost any mobile device can participate in distributed learning, and the availability issue of distributed learning can be solved. Additionally, the DML solves the limitations of computer memory. However, model safety and security have become a challenge. The distributed learning system is vulnerable to attacks while updating model parameters and aggregating gradients among multiple learning participants.

Recent developments in blockchain technologies, including distributed ledger frameworks, consensus algorithms, intelligent contract engines, development libraries, and interfaces with other systems, are creating new types of services that were previously impossible. Network design and management applications for these emerging technologies are challenging tasks. This Special Issue aims to solicit state-of-the-art research on the secure blockchain-based computing framework of DML in a 5G network. We invite researchers to submit their original research about the framework development, deployments, opportunities, and problems using secure blockchain-based DML in a 5G network.

Technical Program Committee Member:
Mr. Nirmal Kumar Biswas
Affiliation: Department of Computer Science & Technology, Gangarampur Government Polytechnic, Gangarampur 733124, Dakshin Dinajpur, West Bengal, India

Dr. Sourav Banerjee
Dr. Uttam Ghosh
Guest Editors

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  • fixed wireless access (FWA)
  • fifth generation (5G)
  • distributed machine learning (DML)

Published Papers

This special issue is now open for submission.
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