2 papers
eess.SP2022
Over-the-Air Gaussian Process Regression Based on Product of Experts
Koya Sato
This paper proposes a distributed Gaussian process regression (GPR) with over-the-air computation, termed AirComp GPR, for communication- and computation-efficient data analysis ov…
cs.NI2020
Network-Density-Controlled Decentralized Parallel Stochastic Gradient Descent in Wireless Systems
Koya Sato, Yasuyuki Satoh, Daisuke Sugimura
This paper proposes a communication strategy for decentralized learning on wireless systems. Our discussion is based on the decentralized parallel stochastic gradient descent (D-PS…