activity
20062026
most citedJoint Optimization of Radio and Computational Resources for Multicell Mobile-Edge Computing

928 citations · 3.8k across the 59 of their papers we have counts for

collaborators
Showing 2019Show all

5 papers · 1 filter

cs.CR2019★ 1 cited

Grand Challenges in Resilience: Autonomous System Resilience through Design and Runtime Measures

Saurabh Bagchi, Vaneet Aggarwal, Somali Chaterji +13

A set of about 80 researchers, practitioners, and federal agency program managers participated in the NSF-sponsored Grand Challenges in Resilience Workshop held on Purdue campus on…

math.OC2019★ 2 cited

A Unified Contraction Analysis of a Class of Distributed Algorithms for Composite Optimization

Jinming Xu, Ying Sun, Ye Tian +1

We study distributed composite optimization over networks: agents minimize the sum of a smooth (strongly) convex function, the agents' sum-utility, plus a non-smooth (extended-valu…

math.OC2019★ 10 cited

Accelerated Primal-Dual Algorithms for Distributed Smooth Convex Optimization over Networks

Jinming Xu, Ye Tian, Ying Sun +1

This paper proposes a novel family of primal-dual-based distributed algorithms for smooth, convex, multi-agent optimization over networks that uses only gradient information and go…

math.OC2019★ 8 cited

Asynchronous Decentralized Successive Convex Approximation

Ye Tian, Ying Sun, Gesualdo Scutari

We study decentralized asynchronous multiagent optimization over networks, modeled as static (possibly directed) graphs. The optimization problem consists of minimizing a (possibly…

math.OC2019★ 4 cited

Distributed Optimization Based on Gradient-tracking Revisited: Enhancing Convergence Rate via Surrogation

Ying Sun, Amir Daneshmand, Gesualdo Scutari

We study distributed multiagent optimization over (directed, time-varying) graphs. We consider the minimization of subject to convex constraints, where is the smooth stro…