2 citations · 5 across the 9 of their papers we have counts for
5 papers · 1 filter
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…
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…
Differentially Private and Communication-Efficient Distributed Nonconvex Optimization Algorithms
Antai Xie, Xinlei Yi, Xiaofan Wang +2
This paper studies the privacy-preserving distributed optimization problem under limited communication, where each agent aims to keep its cost function private while minimizing the…
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…