873 citations · 1.8k across the 33 of their papers we have counts for
5 papers · 1 filter
Decentralized RLS with Data-Adaptive Censoring for Regressions over Large-Scale Networks
Zifeng Wang, Zheng Yu, Qing Ling +2
The deluge of networked data motivates the development of algorithms for computation- and communication-efficient information processing. In this context, three data-adaptive censo…
Decentralized Consensus Optimization with Asynchrony and Delays
Tianyu Wu, Kun Yuan, Qing Ling +2
We propose an asynchronous, decentralized algorithm for consensus optimization. The algorithm runs over a network in which the agents communicate with their neighbors and perform l…
Make Workers Work Harder: Decoupled Asynchronous Proximal Stochastic Gradient Descent
Yitan Li, Linli Xu, Xiaowei Zhong +1
Asynchronous parallel optimization algorithms for solving large-scale machine learning problems have drawn significant attention from academia to industry recently. This paper prop…
A Decentralized Second-Order Method for Dynamic Optimization
Aryan Mokhtari, Wei Shi, Qing Ling +1
This paper considers decentralized dynamic optimization problems where nodes of a network try to minimize a sequence of time-varying objective functions in a real-time scheme. At e…
A Decentralized Second-Order Method with Exact Linear Convergence Rate for Consensus Optimization
Aryan Mokhtari, Wei Shi, Qing Ling +1
This paper considers decentralized consensus optimization problems where different summands of a global objective function are available at nodes of a network that can communicate…