Call for Papers: Cloud-Edge Intelligence Collaborative Computing: Software, Communication and Human

Overview:

With the development of 5G communications and the Internet of Things, IoT devices are becoming the primary smart devices for billions of users worldwide. It will result in amount of data generated by billions of sensors and devices. It is of great significance to mine the characteristics and values of massive data efficiently and safely, for the practical industrial scenarios, such as finance, medicine, natural language processing, and etc. Distributed machine learning technology has become a key method to efficiently process and explore the value of massive data, as it can make use of the computing capacity of multiple computing devices and has the self-learning, pre-training and fast reasoning abilities.

Recent advancement in computational power at the cloud server and edge devices, have made it possible to execute machine learning models by the cooperation of cloud server and edge devices. However, the research of distributed machine learning on Cloud-Edge computing is still in its early stages and there are still many problems to be solved. For instance, how to manage and schedule cloud-edge heterogeneous resources? How to ensure data security and efficient transmission with limited network? How to conduct distributed high-performance training and inference? Therefore, distributed training and inference system or framework, data security, network transmission, resource management and scheduling, and algorithms for AI in cloud-edge computing should be researched in depth, and needs a special communication for the recent advances of the next generation distributed machine learning system.

The focus for this special issue is on advances in Cloud-Edge Intelligence Collaborative Computing. Researchers from academic fields and industries worldwide are encouraged to submit high quality unpublished original research articles as well as review articles in broad areas relevant to theories, technologies, and emerging applications.

Topics

Topics of interest include, but are not limited to, the following scope:

  • Data processing algorithm for Cloud-Edge Intelligence Collaborative Computing
  • Federated Learning framework for Cloud-Edge Intelligence Collaborative Computing
  • Network management optimization for Cloud-Edge Intelligence Collaborative Computing
  • Routing schemes for Cloud-Edge Intelligence Collaborative Computing
  • Security in for Cloud-Edge Intelligence Collaborative Computing
  • Distributed machine learning for Cloud-Edge Intelligence Collaborative Computing
  • Communication and network protocols for Cloud-Edge Intelligence Collaborative Computing
  • Distributed storage and Heterogeneous resource management for Cloud-Edge Intelligence Collaborative Computing
  • 5G-IoT for Cloud-Edge Intelligence Collaborative Computing
  • IoT Software development and deployment for Cloud-Edge Intelligence Collaborative Computing
  • Software Defined IoT for Cloud-Edge Intelligence Collaborative Computing

Important Dates

Manuscript submission deadline: Feb. 20, 2023
Notification of acceptance: April 25, 2023
Submission of final revised paper: May 25, 2023
Publication of special issue (tentative): July, 2023

Submission Procedure

Authors should follow the MONET Journal manuscript format described at the journal site. Manuscripts should be submitted on-line through http://www.editorialmanager.com/mone/.

A copy of the manuscript should also be emailed to the Guest Editors at the following email address gaohonghao@shu.edu.cn

Guest Editors:

Prof. Honghao Gao, Shanghai University, China.