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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  (IF4.341),  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.