2 papers
math.OC2022
A Compressed Gradient Tracking Method for Decentralized Optimization with Linear Convergence
Yiwei Liao, Zhuorui Li, Kun Huang +1
Communication compression techniques are of growing interests for solving the decentralized optimization problem under limited communication, where the global objective is to minim…
math.OC2021
Improving the Transient Times for Distributed Stochastic Gradient Methods
Kun Huang, Shi Pu
We consider the distributed optimization problem where agents each possessing a local cost function, collaboratively minimize the average of the cost functions over a conne…