3 papers
math.OC2025
Distributed Online Randomized Gradient-Free Optimization with Compressed Communication
Longkang Zhu, Xinli Shi, Xiangping Xu +2
This paper addresses two fundamental challenges in distributed online convex optimization: communication efficiency and optimization under limited feedback. We propose a unified fr…
cs.LG2025
A Hybrid Stochastic Gradient Tracking Method for Distributed Online Optimization Over Time-Varying Directed Networks
Xinli Shi, Xingxing Yuan, Longkang Zhu +1
With the increasing scale and dynamics of data, distributed online optimization has become essential for real-time decision-making in various applications. However, existing algori…
math.OC2025
Distributed Online Randomized Gradient-Free optimization with Compressed Communication
Longkang Zhu, Xinli Shi, Xiangping Xu +1
This paper addresses two fundamental challenges in distributed online convex optimization: communication efficiency and optimization under limited feedback. We propose Online Compr…