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20172021
most citedDistributed Discrete-time Optimization in Multi-agent Networks Using only Sign of Relative State

82 citations · 244 across the 12 of their papers we have counts for

collaborators

12 papers

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★ 2 cited

Asynchronous Networked Aggregative Games

Rongping Zhu, Jiaqi Zhang, Keyou You +1

We propose a fully asynchronous networked aggregative game (Asy-NAG) where each player minimizes a cost function that depends on its local action and the aggregate of all players'…

cs.LG2020★ 1 cited

Fully Asynchronous Policy Evaluation in Distributed Reinforcement Learning over Networks

Xingyu Sha, Jiaqi Zhang, Keyou You +2

This paper proposes a \emph{fully asynchronous} scheme for the policy evaluation problem of distributed reinforcement learning (DisRL) over directed peer-to-peer networks. Without…

math.OC2020

Distributed Adaptive Newton Methods with Global Superlinear Convergence

Jiaqi Zhang, Keyou You, Tamer Başar

This paper considers the distributed optimization problem where each node of a peer-to-peer network minimizes a finite sum of objective functions by communicating with its neighbor…

eess.SP2019★ 3 cited

Distributed Dual Gradient Tracking for Resource Allocation in Unbalanced Networks

Jiaqi Zhang, Keyou You, Kai Cai

This paper proposes a distributed dual gradient tracking algorithm (DDGT) to solve resource allocation problems over an unbalanced network, where each node in the network holds a p…

cs.LG2019★ 25 cited

Decentralized Stochastic Gradient Tracking for Non-convex Empirical Risk Minimization

Jiaqi Zhang, Keyou You

This paper studies a decentralized stochastic gradient tracking (DSGT) algorithm for non-convex empirical risk minimization problems over a peer-to-peer network of nodes, which is…

eess.SY2019★ 36 cited

Flight Control for UAV Loitering Over a Ground Target with Unknown Maneuver

Fei Dong, Keyou You, Jiaqi Zhang

This paper proposes a flight controller for an unmanned aerial vehicle (UAV) to loiter over a ground moving target (GMT). We are concerned with the scenario that the stochastically…

cs.DC2019★ 17 cited

Fully Asynchronous Distributed Optimization with Linear Convergence in Directed Networks

Jiaqi Zhang, Keyou You

We consider the distributed optimization problem, the goal of which is to minimize the sum of local objective functions over a directed network. Though it has been widely studied r…

cs.DC2018★ 73 cited

AsySPA: An Exact Asynchronous Algorithm for Convex Optimization Over Digraphs

Jiaqi Zhang, Keyou You

This paper proposes a novel exact distributed asynchronous subgradient-push algorithm (AsySPA) to solve an additive cost optimization problem over directed graphs where each node o…

eess.SY2018

Bayesian Filtering with Unknown Sensor Measurement Losses

Jiaqi Zhang, Keyou You, Lihua Xie

This work studies the state estimation problem of a stochastic nonlinear system with unknown sensor measurement losses. If the estimator knows the sensor measurement losses of a li…

eess.SY2017★ 82 cited

Distributed Discrete-time Optimization in Multi-agent Networks Using only Sign of Relative State

Jiaqi Zhang, Keyou You, Tamer Başar

This paper proposes distributed discrete-time algorithms to cooperatively solve an additive cost optimization problem in multi-agent networks. The striking feature lies in the use…