3 papers
math.OC2024
A Communication-Efficient Stochastic Gradient Descent Algorithm for Distributed Nonconvex Optimization
Antai Xie, Xinlei Yi, Xiaofan Wang +2
This paper studies distributed nonconvex optimization problems with stochastic gradients for a multi-agent system, in which each agent aims to minimize the sum of all agents' cost…
cs.RO2024
Efficient Invariant Kalman Filter for Inertial-based Odometry with Large-sample Environmental Measurements
Xinghan Li, Haoying Li, Guangyang Zeng +4
A filter for inertial-based odometry is a recursive method used to estimate the pose from measurements of ego-motion and relative pose. Currently, there is no known filter that gua…
math.OC2023
Compressed Differentially Private Distributed Optimization with Linear Convergence
Antai Xie, Xinlei Yi, Xiaofan Wang +2
This paper addresses the problem of differentially private distributed optimization under limited communication, where each agent aims to keep their cost function private while min…