7 citations · 10 across the 7 of their papers we have counts for
10 papers
Consensus-based Decentralized Distributed Swarm Learning with Heterogeneous Big Data
Zhuoyu Yao, Dong Yang, Yue Wang +4
Artificial intelligence increasingly relies on large-scale, distributed, and heterogeneous data collected by edge devices. However, the practice of edge intelligence remains challe…
CGFormer: A Cross-Attention Based Grid-Free Transformer for Radio Map Estimation
Haihan Nan, Emmanuel Obeng Frimpong, Zhi Tian +2
Radio map estimation (RME), which predicts wireless signal metrics at unmeasured locations from sparse measurements, has attracted growing attention as a key enabler of intelligent…
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…
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…