2 papers
eess.SY2026
Convergence Analysis of Continuous-Time Distributed Stochastic Gradient Algorithms
Jianhua Sun, Kaihong Lu, Xin Yu
In this paper, we propose a new framework to study distributed optimization problems with stochastic gradients by employing a multi-agent system with continuous-time dynamics. Here…
math.OC2025
High Probability Convergence of Distributed Clipped Stochastic Gradient Descent with Heavy-tailed Noise
Yuchen Yang, Kaihong Lu, Long Wang
In this paper, the problem of distributed optimization is studied via a network of agents. Each agent only has access to a noisy gradient of its own objective function, and can com…