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Fed-KAN: Federated Learning With Kolmogorov–Arnold Networks for Traffic Prediction: KAN-Based Learning

Digital Twin-Oriented Integrated Terrestrial and Nonterrestrial Networks: New Perspectives, Challenges, and Enabling Technologies
By Minghui Dai, Yixuan Wang, Shan Chang, Ling Lyu, Shahid Mumtaz, Jiaming Pei

On-Demand Vehicular Service Deployment in 6G: A Collaborative Large-Small LM Architecture

Channel Characterization and Emulation for Nonterrestrial Network Communications: Challenges and Solutions

Artificial Intelligence-Programmable Wireless Connectivity: Challenges and Research Directions Toward Interactive and Immersive Industry

Distributed and Crowdsourced Artificial Intelligence: Enabling a Robust and Scalable 6G Network Architecture

Quantum Machine Learning-Based 6G Network: Enabling Adaptive Communication and Model Aggregation

Trustworthy Semantic Communication for Vehicular Networks: Challenges and Solutions
By Yanghe Pan, Yuntao Wang, Shaolong Guo, Chengyu Yin, Ruidong Li, Zhou Su, Yuan Wu

Adaptive Contextual Caching for Mobile-Edge Large Language Model Service: A Proposed Framework
By Guangyuan Liu, Yinqiu Liu, Jiacheng Wang, Hongyang Du, Dusit Niyato, Jiawen Kang, Zehui Xiong


