1 citations · 1 across the 7 of their papers we have counts for
7 papers
FM-RME: Foundation Model Empowered Radio Map Estimation
Dong Yang, Yue Wang, Songyang Zhang +3
Traditional radio map estimation (RME) techniques fail to capture multi-dimensional and dynamic characteristics of complex spectrum environments. Recent data-driven methods achieve…
Efficient Multi-Worker Selection based Distributed Swarm Learning via Analog Aggregation
Zhuoyu Yao, Yue Wang, Songyang Zhang +3
Recent advances in distributed learning systems have introduced effective solutions for implementing collaborative artificial intelligence techniques in wireless communication netw…
Multi-Worker Selection based Distributed Swarm Learning for Edge IoT with Non-i.i.d. Data
Zhuoyu Yao, Yue Wang, Songyang Zhang +3
Recent advances in distributed swarm learning (DSL) offer a promising paradigm for edge Internet of Things. Such advancements enhance data privacy, communication efficiency, energy…
Efficient Transmission of Radiomaps via Physics-Enhanced Semantic Communications
Yueling Zhou, Achintha Wijesinghe, Yue Wang +2
Enriching information of spectrum coverage, radiomap plays an important role in many wireless communication applications, such as resource allocation and network optimization. To e…
Physics-Inspired Distributed Radio Map Estimation
Dong Yang, Yue Wang, Songyang Zhang +2
To gain panoramic awareness of spectrum coverage in complex wireless environments, data-driven learning approaches have recently been introduced for radio map estimation (RME). Whi…
Security Risks Concerns of Generative AI in the IoT
Honghui Xu, Yingshu Li, Olusesi Balogun +3
In an era where the Internet of Things (IoT) intersects increasingly with generative Artificial Intelligence (AI), this article scrutinizes the emergent security risks inherent in…
Distributed Swarm Learning for Edge Internet of Things
Yue Wang, Zhi Tian, FXin Fan +3
The rapid growth of Internet of Things (IoT) has led to the widespread deployment of smart IoT devices at wireless edge for collaborative machine learning tasks, ushering in a new…