Domain-specific adaptation of Multimodal Large Language Models (MLLMs) in privacy-sensitive edge environments requires federated fine-tuning, yet client selection remains challenging due to heterogeneous multimodal data and modality availability, dynamic system conditions, and evolving client utility during training. W...
Tian-Qi Zong, Bao-Sheng Li, Nuo-Cheng Yang et al.· 0 citations
Mobile augmented reality (AR) supports rich interactive applications by enabling high-fidelity 3D content to be displayed in real time on mobile devices. However, under timevarying wireless conditions and fluctuating device-side rendering contention, reconstructing such high-fidelity 3D content in a timely manner remai...
Shi-Dong Wang, Bang-Cai Wei, Chun-Sheng Wang et al.· 2026 IEEE/CIC International...· 0 citations
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.