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IEEE TCCN Special Section Editorial: Convergence of Collaborative Distributed Machine Learning and Edge Computing Toward Intelligent Networking
IEEE Transactions on Cognitive Communications and Networking ( IF 7.4 ) Pub Date : 2021-12-08 , DOI: 10.1109/tccn.2021.3127563
Dusit Niyato , Kaibin Huang , Mehdi Bennis , Miao Pan , Zehui Xiong , Long Bao Le , Dong in Kim , Li-Chun Wang

We are delighted to introduce the readers to this special Section of the IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING (TCCN), which aims at soliciting the original research and practical contributions on novel architectures, applications, and technologies of the convergence of Collaborative Distributed Machine Learning (CD-ML) and edge computing towards the realization of “edge intelligence” and/or “intelligent edge.” The objective of this special Section is to introduce recent advances in convergence of CD-ML and edge computing, and its applications to tackle both fundamental and practical challenges in intelligent communication systems. We have received a total number of 26 submissions, and after a rigorous peer-review process, 9 articles have been selected for publication, which are briefly discussed as follows.

中文翻译:


IEEE TCCN 专题社论:协作分布式机器学习和边缘计算向智能网络的融合



我们很高兴向读者介绍 IEEE 认知通信和网络交易 (TCCN) 的这一特殊部分,该部分旨在征集对协作分布式机器学习融合的新颖架构、应用程序和技术的原始研究和实践贡献(CD-ML)和边缘计算,以实现“边缘智能”和/或“智能边缘”。本专题的目的是介绍 CD-ML 和边缘计算融合的最新进展,及其在解决智能通信系统中的基本和实际挑战方面的应用。我们总共收到了 26 篇投稿,经过严格的同行评审过程,最终选出 9 篇文章发表,简要讨论如下。
更新日期:2021-12-08
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