Communication and computation are often viewed as separate tasks. This approach is very
effective from the perspective of engineering as isolated optimizations can be performed …

With recent advancements, the wireless local area network (WLAN) or wireless fidelity (Wi-
Fi) technology has been successfully utilized to realize sensing functionalities such as …

It is anticipated that integrated sensing and communications (ISAC) would be one of the key
enablers of next-generation wireless networks (such as beyond 5G (B5G) and 6G) for …

This paper studies a new multi-device edge artificial-intelligent (AI) system, which jointly
exploits the AI model split inference and integrated sensing and communication (ISAC) to …

Sixth-generation (6G) mobile communication networks are expected to have dense
infrastructures, large antenna size, wide bandwidth, cost-effective hardware, diversified …

Throughout human history, agriculture has undergone a series of progressive
transformations based on ever-evolving technologies in an effort to increase productivity and …

Due to the dynamics of wireless channels and limited wireless resources (ie, spectrum),
deploying federated learning (FL) over wireless networks is challenged by frequent FL …

With the recent advancements in edge artificial intelligence (AI), future sixth-generation (6G)
networks need to support new AI tasks such as classification and clustering apart from data …

Federated learning (FL) is a promising distributed learning approach which enables multiple
devices to collaboratively train deep neural networks in a privacy-preserving fashion …

Federated edge learning (FEEL) enables privacy-preserving model training through periodic
communication between edge devices and the server. Unmanned Aerial Vehicle (UAV) …