Series Editorial: Artificial Intelligence and Data Science for Communications

Welcome to the April 2025 issue of IEEE Communications Magazine's Artificial Intelligence and Data Science for Communications Series. In this edition, we bring together five compelling articles that showcase the transformative role of AI and data science in next-generation communication networks. From enhancing security in federated learning to advancing autonomous network management, AI-driven edge intelligence, and radio access networks, these articles collectively illustrate how cutting-edge AI techniques are reshaping the future of communications.

Authors

Publication Details

Journal
IEEE Communications Magazine
Published
2025-03-31
DOI
https://doi.org/10.1109/mcom.2025.10945713
Primary Topic
Educational and Technological Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Series Editorial: Artificial Intelligence and Data Science for Communications

Yulin Shao, Malamati Louta, Yongmin Choi, Xingqin Lin
IEEE Communications Magazine
Educational and Technological Research
article

Series Editorial: Artificial Intelligence and Data Science for Communications

Yulin Shao, Malamati Louta, Yongmin Choi, Xingqin Lin
article en

Abstract

Welcome to the April 2025 issue of IEEE Communications Magazine's Artificial Intelligence and Data Science for Communications Series. In this edition, we bring together five compelling articles that showcase the transformative role of AI and data science in next-generation communication networks. From enhancing security in federated learning to advancing autonomous network management, AI-driven edge intelligence, and radio access networks, these articles collectively illustrate how cutting-edge AI techniques are reshaping the future of communications.

IEEE Communications MagazineVol. 63(4)
Openalex Percentile: Top 93%
Educational and Technological Research
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