Researcher profile
Koya Sato
2 papers in the PaperMetrix corpus
Publications
Papers by this author
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Over-the-Air Gaussian Process Regression Based on Product of Experts
2022 · 2022 IEEE Globecom Workshops (GC Wkshps)
This paper proposes a distributed Gaussian process regression (GPR) with over-the-air computation, termed AirComp GPR, for communication-and computation-efficient data analysis over wireless networks. GPR is a non-parametric regression method that can model the target flexibly. …
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Adaptively Weighted Averaging Over-the-Air Computation and Its Application to Distributed Gaussian Process Regression
2025 · arXiv (Cornell University)
This paper introduces a noise-tolerant computing method for over-the-air computation (AirComp) aimed at weighted averaging, which is critical in various Internet of Things (IoT) applications such as environmental monitoring. Traditional AirComp approaches, while efficient, suffer …