57 citations · 147 across the 21 of their papers we have counts for
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eess.SP2019
Multi-Agent Coordination for Distributed Transmit Beamforming
Jemin George, Anjaly Parayil, He Bai
This paper presents the formulation and analysis of a two time-scale optimization algorithm for multi-agent coordination for the purpose of distributed beamforming. Each agent is a…
math.OC2019
Distributed Stochastic Gradient Method for Non-Convex Problems with Applications in Supervised Learning
Jemin George, Tao Yang, He Bai +1
We develop a distributed stochastic gradient descent algorithm for solving non-convex optimization problems under the assumption that the local objective functions are twice contin…
eess.SP2019★ 4 cited
Wind Estimation Using Quadcopter Motion: A Machine Learning Approach
Sam Allison, He Bai, Balaji Jayaraman
In this article, we study the well known problem of wind estimation in atmospheric turbulence using small unmanned aerial systems (sUAS). We present a machine learning approach to…