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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…