7 papers
Resource-Aware LLM Reasoning for Mobile Edge General Intelligence
Mingyi Luo, Ruichen Zhang, Xiangwang Hou +4
The rapid advancement of large language models (LLMs) has enabled an emergence of agentic artificial intelligence (AI) with powerful reasoning and autonomous decision-making capabi…
Graph-Aware Temporal Encoder Based Service Migration and Resource Allocation in Satellite Networks
Haotong Wang, Jun Du, Chunxiao Jiang +3
The rapid expansion of latency-sensitive applications has sparked renewed interest in deploying edge computing capabilities aboard satellite constellations, aiming to achieve truly…
RIS-based Communication Enhancement and Location Privacy Protection in UAV Networks
Ziqi Chen, Jun Du, Chunxiao Jiang +2
With the explosive advancement of unmanned aerial vehicles (UAVs), the security of efficient UAV networks has become increasingly critical. Owing to the open nature of its communic…
Energy-Efficient Federated Learning for Edge Real-Time Vision via Joint Data, Computation, and Communication Design
Xiangwang Hou, Jingjing Wang, Fangming Guan +3
Emerging real-time computer vision (CV) applications on wireless edge devices demand energy-efficient and privacy-preserving learning. Federated learning (FL) enables on-device tra…
Lightweight Federated Learning over Wireless Edge Networks
Xiangwang Hou, Jingjing Wang, Jun Du +3
With the exponential growth of smart devices connected to wireless networks, data production is increasing rapidly, requiring machine learning (ML) techniques to unlock its value.…
Joint Optimization of Communication Enhancement and Location Privacy Protection in RIS-Assisted Underwater Communication System
Ziqi Chen, Jun Du, Chunxiao Jiang +1
As the demand for underwater communication continues to grow, underwater acoustic RIS (UARIS), as an emerging paradigm in underwater acoustic communication (UAC), can significantly…