collaborators

5 papers

eess.SP2026

Age-of-Information Aware Federated Learning with Finite Speed Pinching Antenna

Kaidi Wang, Daniel K C So, Zhiguo Ding

This paper investigates age-of-information (AoI) aware federated learning over wireless networks with finite speed pinching antennas. In contrast to existing studies that assume an…

eess.SP2026

Leaky Coaxial Cable based Generalized Pinching-Antenna Systems with Dual-Port Feeding

Kaidi Wang, Zhiguo Ding, Daniel K. C. So

By leveraging the distributed leakage radiation of leaky coaxial cables (LCXs), the concept of pinching antennas can be generalized from the conventional high-frequency waveguide b…

eess.SP2025

Robust Energy-Efficient Sleep-Mode Strategy for Multi-RIS-Aided Cell-Free Massive MIMO

Hongyi Luo, Wenyu Song, Daniel K. C. So +2

With the explosive growth of data traffic and the ubiquitous connectivity of wireless devices, the energy demands of wireless networks have inevitably escalated. Reconfigurable int…

eess.SY2025

Adaptive Biased User Scheduling for Heterogeneous Wireless Federate Learning Network

Changxiang Wu, Yijing Ren, Daniel K. C. So +1

Federated Learning (FL) has revolutionized collaborative model training in distributed networks, prioritizing data privacy and communication efficiency. This paper investigates eff…

cs.LG2025

Empowering Large Language Models in Wireless Communication: A Novel Dataset and Fine-Tuning Framework

Yushen Lin, Ruichen Zhang, Wenqi Huang +4

In this work, we develop a specialized dataset aimed at enhancing the evaluation and fine-tuning of large language models (LLMs) specifically for wireless communication application…