18 citations · 26 across the 16 of their papers we have counts for
16 papers
Communication-Efficient Digital-Twin Coordination for Heterogeneous LLM Embodied Agents over Computing Power Networks
Nuocheng Yang, Sihua Wang, Zihan Chen +2
Embodied agent teams powered by heterogeneous large language models (LLMs) are being widely deployed in physical artificial intelligence such as smart factories, warehouses, and se…
A Query-Driven Communication-Efficient Digital Twins Design for Autonomous Driving
Nuocheng Yang, Longyu Zhou, Sihua Wang +2
Digital twins (DTs) have become a potential technology to perform risk-free simulation of physical entities for deterministic and high-reliability services in diverse scenarios suc…
Priority-Aware Learning-Unlearning Correction for Dynamic Decentralized LoRA Fine-Tuning
Nuocheng Yang, Yechen He, Sihua Wang +3
As large language models (LLMs) are increasingly deployed at the network edge to provide pervasive generative AI services, decentralized federated learning (DFL) provides a vital m…
Recursive Vision Transformer with Dynamic Depth and Width Adjustment for Resource-Efficient Image Semantic Communication
Zhilong Zhang, Xinhui Zhang, Gongyu Jin +3
Image semantic communication is a critical component in next-generation wireless communication systems. However, such systems typically suffer from large memory footprints and high…
Wireless Federated Multi-Task LLM Fine-Tuning via Sparse-and-Orthogonal LoRA
Nuocheng Yang, Sihua Wang, Ouwen Huan +3
Decentralized federated learning (DFL) based on low-rank adaptation (LoRA) enables mobile devices with multi-task datasets to collaboratively fine-tune a large language model (LLM)…
A Secure and Private Distributed Bayesian Federated Learning Design
Nuocheng Yang, Sihua Wang, Zhaohui Yang +3
Distributed Federated Learning (DFL) enables decentralized model training across large-scale systems without a central parameter server. However, DFL faces three critical challenge…
A Secure Semantic Communication System Based on Knowledge Graph
Qin Guo, Haonan Tong, Sihua Wang +3
This study proposes a novel approach to ensure the security of textual data transmission in a semantic communication system. In the proposed system, a sender transmits textual info…
Video Semantic Communication with Major Object Extraction and Contextual Video Encoding
Haopeng Li, Haonan Tong, Sihua Wang +3
This paper studies an end-to-end video semantic communication system for massive communication. In the considered system, the transmitter must continuously send the video to the re…
Collaborative Reinforcement Learning Based Unmanned Aerial Vehicle (UAV) Trajectory Design for 3D UAV Tracking
Yujiao Zhu, Mingzhe Chen, Sihua Wang +3
In this paper, the problem of using one active unmanned aerial vehicle (UAV) and four passive UAVs to localize a 3D target UAV in real time is investigated. In the considered model…
Adaptive Bitrate Video Semantic Communication over Wireless Networks
Wentao Gong, Haonan Tong, Sihua Wang +3
This paper investigates the adaptive bitrate (ABR) video semantic communication over wireless networks. In the considered model, video sensing devices must transmit video semantic…
Digital Over-the-Air Federated Learning in Multi-Antenna Systems
Sihua Wang, Mingzhe Chen, Cong Shen +2
In this paper, the performance optimization of federated learning (FL), when deployed over a realistic wireless multiple-input multiple-output (MIMO) communication system with digi…
Performance Optimization for Variable Bitwidth Federated Learning in Wireless Networks
Sihua Wang, Mingzhe Chen, Christopher G. Brinton +3
This paper considers improving wireless communication and computation efficiency in federated learning (FL) via model quantization. In the proposed bitwidth FL scheme, edge devices…
Distributed Reinforcement Learning for Age of Information Minimization in Real-Time IoT Systems
Sihua Wang, Mingzhe Chen, Zhaohui Yang +4
In this paper, the problem of minimizing the weighted sum of age of information (AoI) and total energy consumption of Internet of Things (IoT) devices is studied. In the considered…
Mobility-Aware Seamless Handover with MPTCP in Software-Defined HetNets
Haonan Tong, Tao Wang, Yujiao Zhu +3
In this paper, the problem of vertical handover in software-defined network (SDN) based heterogeneous networks (HetNets) is studied. In the studied model, HetNets are required to o…
A Machine Learning Approach for Task and Resource Allocation in Mobile Edge Computing Based Networks
Sihua Wang, Mingzhe Chen, Xuanlin Liu +3
In this paper, a joint task, spectrum, and transmit power allocation problem is investigated for a wireless network in which the base stations (BSs) are equipped with mobile edge c…
Federated Learning for Task and Resource Allocation in Wireless High Altitude Balloon Networks
Sihua Wang, Mingzhe Chen, Changchuan Yin +4
In this paper, the problem of minimizing energy and time consumption for task computation and transmission is studied in a mobile edge computing (MEC)-enabled balloon network. In t…