Special Issue Information Special Issue Call for Paper Other Special Issues on this journal Closed Special Issues
Applications of AI Empowered Federated Learning Using Mobile Edge computing for IoT

Applications of AI Empowered Federated Learning Using Mobile Edge computing for IoT

Journal
Impact Score 3.3

OFFICIAL WEBSITE

Special Issue Information

Submission Deadline: 15-05-2021
Journal Impact Score: 3.3
Journal Name: Wireless Personal Communications
Publisher: Wireless Personal Communications
Journal & Submission Website: https://www.springer.com/journal/11277

Special Issue Call for Papers

The recent years have witnessed the usage of mobile edge computing and Internet of Things in mobile networks that provide a bottleneck in the emerging technological needs. The technology development focuses the needs on Data transmission, reducing the throughput and network load. The emerging needs focused the network to handle the data storage, computing and to deal the low latency in potential applications such as smart city, transportation, smart grids and many sustainable environments. The massive amount of data can be handled by the mobile edge computing devices that has the specialised architecture to provide network optimisation, network analytics using IoT. The contributions of Federated Leaning provide a successful architecture to enhance the security in the network with the heterogeneous IoT environments.  AI based Federated Learning (FL) is a bottle neck technology that enhances the privacy and security issues in the wireless paradigm. Federated Learning is a distributed platform of AI based approach that enhances the smart systems connectivity with increased network capacity, quality of service, network availability, and user-experience. Advanced Mathematical tools in the field of wireless communications with the FL helps the process in telecom, bioinformatics, healthcare, Internet of Things, social networks, and manufacturing. However, research on edge intelligence is still in its infancy stage, and a dedicated venue for exchanging the recent advances of edge intelligence is highly desired by both the computer system and artificial intelligence communities. The main focus of this Special Section is on the most recent applications of Federated Learning using Mobile Edge Computing for IoT to optimize data for next-generation networks. Hence, the goal of this Special Issue is to disseminate the latest research and innovations on Artificial Intelligence based FL for Wireless Communications. This Special issue provides an insight to the readers in way of inculcating the theme that shapes the wireless communication through AI based FL next generation secure communication.Topics of interest include, but are not limited to, the following scope:

Submission deadline: 15th May 2021Deadline for review (typically 4-8 weeks after deadline for submissions): 19th  July 2021Decisions: First Revision: 25th  September 2021Deadline for revised version by authors (typically 4-8 weeks after decisions): 10th  November 2021Deadline for 2nd review (typically 2-4 weeks after deadline for revised versions): 10th December 2021Final decisions: January 2022

Lead Guest EditorS.VimalDepartment of Information Technology, National Engineering College, India  [email protected],[email protected] EditorsShahid MumtazSenior Researcher, Senior Member IEEE, Instituto de Telecomunicaces, Aveiro, [email protected] Kashif BashirDepartment of Computing and Mathematics, Manchester Metropolitan University, [email protected] PelusiFaculty of Communication Sciences, University of Teramo, [email protected] SureshDepartment of Computer Science & Engineering, SRM Institute of Science & Technology, [email protected] should follow the WPC Journal manuscript format described at the journal site. Manuscripts should be submitted online throughhttps://www.editorialmanager.com/wire/default.aspx.

Closed Special Issues

Publisher
Journal Details
Closing date
G2R Score
Intelligent Decision Support Systems for Wireless Communications in IoT Environments

Intelligent Decision Support Systems for Wireless Communications in IoT Environments

Wireless Personal Communications
Closing date: 20-08-2021 G2R Score: 3.3
Blockchain for Cognitive Wireless Communication Networks

Blockchain for Cognitive Wireless Communication Networks

Wireless Personal Communications
Closing date: 29-07-2021 G2R Score: 3.3
Natural and Bio-Inspired Algorithms for Secure Wireless Communication

Natural and Bio-Inspired Algorithms for Secure Wireless Communication

Wireless Personal Communications
Closing date: 20-06-2021 G2R Score: 3.3
Deep Reinforcement Learning for Future Wireless Network Virtualization

Deep Reinforcement Learning for Future Wireless Network Virtualization

Wireless Personal Communications
Closing date: 15-06-2021 G2R Score: 3.3
Autonomous Learning-Based Algorithm for Heterogeneous Cellular Networks

Autonomous Learning-Based Algorithm for Heterogeneous Cellular Networks

Wireless Personal Communications
Closing date: 30-05-2021 G2R Score: 3.3
Applications of AI Empowered Federated Learning Using Mobile Edge computing for IoT

Applications of AI Empowered Federated Learning Using Mobile Edge computing for IoT

Wireless Personal Communications
Closing date: 15-05-2021 G2R Score: 3.3
Emerging Trends in Wireless, Optical Technologies towards Digital Transformation

Emerging Trends in Wireless, Optical Technologies towards Digital Transformation

Wireless Personal Communications
Closing date: 03-05-2021 G2R Score: 3.3
Machine Learning and Cognitive Computing for Mobile Communications and Wireless Networks

Machine Learning and Cognitive Computing for Mobile Communications and Wireless Networks

Wireless Personal Communications
Closing date: 15-10-2020 G2R Score: 3.3
5G System Design Solutions for Wireless Personal Applications

5G System Design Solutions for Wireless Personal Applications

Wireless Personal Communications
Closing date: 25-09-2020 G2R Score: 3.3
Big Cloud Innovation for Sustainable Wireless Management

Big Cloud Innovation for Sustainable Wireless Management

Wireless Personal Communications
Closing date: 25-03-2020 G2R Score: 3.3
Call for Papers: Big Cloud Innovation for Sustainable Wireless Management

Call for Papers: Big Cloud Innovation for Sustainable Wireless Management

Wireless Personal Communications
Closing date: 25-03-2020 G2R Score: 3.3
Nature Inspired Computing for Wireless Networks Applications

Nature Inspired Computing for Wireless Networks Applications

Wireless Personal Communications
Closing date: 30-07-2019 G2R Score: 3.3