Most federated learning (FL) studies implicitly assume that training data is readily available at participating edge devices. In practice, this data must first be acquired through heterogeneous sensors with potentially different measurement modalities, and the quality and cost of this acquisition process can directly a...
Mehdi Karbalayghareh, D. J. Love, Christopher G. Brinton· 0 citations
This paper designs a novel multi-hop RIS ISAC system for target positioning, where multiple RISs are deployed to assist the communication from a transmitter to associated users while simultaneously enhancing receiver sensing performance in target positioning.
Yi-Rui Luo, Xiaoyan Ma, Yong-Liang Guan et al.· IEEE Transactions on Wireles...· 0 citations
The AISAC landscape is presented, why imperfect sensing changes the learning problem, the closed-loop architecture and its three-way sensing-communication-learning tension are developed, and a vehicular edge-intelligence use case is outlined together with open problems for theory, implementation, and standardization.
Mehdi Karbalayghareh, A. Rajasekaran, Xiao-Yan Ma et al.· arXiv.org· 1 citation
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