Author

Zi-Han Chen

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Preprint Aug 2026

Rethinking the Foundations of Two-Sided AI Models for 6G

For next-generation air interfaces, two-sided artificial intelligence (AI) models have received growing attention, with AI models deployed at both the transmitter and receiver for efficient channel feedback and data communication. However, their practical deployment is complicated by assumptions commonly made in existi...

Yong-Nam Oh, Zi-Han Chen, Timothy J. O'Shea et al. · 0 citations

2026

Maximizing Accuracy-Per-Cost in Vehicular Federated Learning via Active Inference and Two-Stage Resource Optimization

Federated Learning (FL) enables collaborative model training in the Internet of Vehicles (IoV), helping vehicles overcome data and computational limitations while preserving privacy. However, its performance is constrained by both data heterogeneity and system heterogeneity. Additionally, different FL tasks exhibit div...

Xiang-Qing Su, Yan Huo, Zi-Han Chen et al. · IEEE Transactions on Network... · 0 citations

Open access Aug 2026

Bridging Model Heterogeneity in Federated Learning with Group Prototypical Alignment

FedGPA is proposed, a hierarchical framework in which clients with comparable resources and identical architectures form a group and a server mediates knowledge transfer across groups of diverse models, and at its core, the lightweight, model-agnostic Aligned Co-decision (Alco) Unit aligns class-level prototypical info...

Liyinglan Liu, Zikai Xiao, Zi-Han Chen et al. · Journal of Machine Learning... · 0 citations

Jul 2026

Communication-Efficient Digital-Twin Coordination for Heterogeneous LLM Embodied Agents over Computing Power Networks

LDT-Coord is proposed, a networked coordination framework built upon a lightweight digital twin that achieves a task success rate comparable to conventional coordination methods while reducing communication overhead by more than 70x and maintaining robustness under LLM heterogeneity.

Nuocheng Yang, Sihua Wang, Zi-Han Chen et al. · arXiv.org · 0 citations

Review Jul 2026

Media Meets Communication in 6G: Fundamentals, Key Technologies, and Applications

A systematic survey of media communication technologies for 6G vision communication is presented by revisiting the evolution of communication and media technologies and clarifying the intrinsic relationship between media content processing and wireless transmission.

Bingyan Xie, Longyu Zhou, Zi-Han Chen et al. · 0 citations

2026

Asymmetric Partial Model Transmission for Federated Edge Learning

Federated learning (FL) applications normally employ large deep learning (DL) models, resulting in excessive communication overhead in the deployment of FL over resource-constraint mobile edge networks. To achieve better scalability for DL-based FL, we capitalize on both the asymmetric nature of mobile networks and the...

Zi-Han Chen, H. Yang, Tony Q. S. Quek et al. · IEEE Transactions on Cogniti... · 0 citations