873 citations · 1.8k across the 33 of their papers we have counts for
3 papers · 1 filter
Learn-and-Adapt Stochastic Dual Gradients for Network Resource Allocation
Tianyi Chen, Qing Ling, Georgios B. Giannakis
Network resource allocation shows revived popularity in the era of data deluge and information explosion. Existing stochastic optimization approaches fall short in attaining a desi…
An Online Convex Optimization Approach to Dynamic Network Resource Allocation
Tianyi Chen, Qing Ling, Georgios B. Giannakis
Existing approaches to online convex optimization (OCO) make sequential one-slot-ahead decisions, which lead to (possibly adversarial) losses that drive subsequent decision iterate…
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…