5 citations · 5 across the 6 of their papers we have counts for
6 papers
Compressed Distributed Stochastic Nonconvex Optimization with Differential Privacy
Antai Xie, Xiaoqiang Ren, Xinlei Yi +2
This paper studies distributed stochastic nonconvex optimization problems with compressed communication and differential privacy, in which each agent aims to minimize the sum of al…
Compressed Momentum-based Single-Point Zeroth-Order Algorithm for Stochastic Distributed Nonconvex Optimization
Linjing Chen, Antai Xie, Xinlei Yi +2
This paper studies a compressed momentum-based single-point zeroth-order algorithm for stochastic distributed nonconvex optimization, aiming to alleviate communication overhead and…
Initial State Privacy of Nonlinear Systems on Riemannian Manifolds
Le Liu, Yu Kawano, Antai Xie +1
In this paper, we investigate initial state privacy protection for discrete-time nonlinear closed systems. By capturing Riemannian geometric structures inherent in such privacy cha…
A Communication-Efficient and Differentially-Private Distributed Generalized Nash Equilibrium Seeking Algorithm for Aggregative Games
Wenqing Zhao, Antai Xie, Yuchi Wu +2
This paper studies the distributed generalized Nash equilibrium seeking problem for aggregative games with coupling constraints, where each player optimizes its strategy depending…
Autonomous vehicle decision and control through reinforcement learning with traffic flow randomization
Yuan Lin, Antai Xie, Xiao Liu
Most of the current studies on autonomous vehicle decision-making and control tasks based on reinforcement learning are conducted in simulated environments. The training and testin…
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…