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20122023
most citedDistributed Algorithms for Computation of Centrality Measures in Complex Networks

84 citations · 558 across the 52 of their papers we have counts for

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Showing 2021Show all

9 papers · 1 filter

math.OC2021★ 4 cited

Learning Stabilizing Controllers of Linear Systems via Discount Policy Gradient

Feiran Zhao, Xingyun Fu, Keyou You

Stability is one of the most fundamental requirements for systems synthesis. In this paper, we address the stabilization problem for unknown linear systems via policy gradient (PG)…

math.OC2021★ 1 cited

Multi-period facility location and capacity planning under -Wasserstein joint chance constraints in humanitarian logistics

Zhuolin Wang, Keyou You, Zhengli Wang +1

The key of the post-disaster humanitarian logistics (PD-HL) is to build a good facility location and capacity planning (FLCP) model for delivering relief supplies to affected areas…

math.OC2021★ 5 cited

Innovation Compression for Communication-efficient Distributed Optimization with Linear Convergence

Jiaqi Zhang, Keyou You, Lihua Xie

Information compression is essential to reduce communication cost in distributed optimization over peer-to-peer networks. This paper proposes a communication-efficient linearly con…

math.OC2021

Networked Aggregative Games with Linear Convergence

Rongping Zhu, Jiaqi Zhang, Keyou You

This paper considers a networked aggregative game (NAG) where the players are distributed over a communication network. By only communicating with a subset of players, the goal of…

math.OC2021★ 8 cited

Global Convergence of Policy Gradient Primal-dual Methods for Risk-constrained LQRs

Feiran Zhao, Keyou You, Tamer Başar

While the techniques in optimal control theory are often model-based, the policy optimization (PO) approach directly optimizes the performance metric of interest. Even though it ha…

math.OC2021★ 6 cited

Quantized Distributed Gradient Tracking Algorithm with Linear Convergence in Directed Networks

Yongyang Xiong, Ligang Wu, Keyou You +1

Communication efficiency is a major bottleneck in the applications of distributed networks. To address the problem, the problem of quantized distributed optimization has attracted…