977 citations · 5.1k across the 105 of their papers we have counts for
26 papers · 1 filter
Distributed stochastic proximal algorithm with random reshuffling for non-smooth finite-sum optimization
Xia Jiang, Xianlin Zeng, Jian Sun +2
The non-smooth finite-sum minimization is a fundamental problem in machine learning. This paper develops a distributed stochastic proximal-gradient algorithm with random reshufflin…
DIRECT: A Differential Dynamic Programming Based Framework for Trajectory Generation
Kun Cao, Muqing Cao, Shenghai Yuan +1
This paper introduces a differential dynamic programming (DDP) based framework for polynomial trajectory generation for differentially flat systems. In particular, instead of using…
Online Abstract Dynamic Programming with Contractive Models
Xiuxian Li, Lihua Xie
This paper addresses the abstract dynamic programming (DP) in the online scenario, where the abstract DP mapping is time-varying, instead of static. In this case, optimal costs and…
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…
Regret and Cumulative Constraint Violation Analysis for Distributed Online Constrained Convex Optimization
Xinlei Yi, Xiuxian Li, Tao Yang +3
This paper considers the distributed online convex optimization problem with time-varying constraints over a network of agents. This is a sequential decision making problem with tw…
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…
DOT and DOP: Linearly Convergent Algorithms for Finding Fixed Points of Multi-Agent Operators
Xiuxian Li, Min Meng, Lihua Xie
This paper investigates the distributed fixed point finding problem for a global operator over a directed and unbalanced multi-agent network, where the global operator is quasinone…
Optimal Local and Remote Controls of Multiple Systems with Multiplicative Noises and Unreliable Uplink Channels
Qingyuan Qi, Lihua Xie, Huanshui Zhang
In this paper, the optimal local and remote linear quadratic (LQ) control problem is studied for a networked control system (NCS) which consists of multiple subsystems and each of…
Distributed Online Convex Optimization with an Aggregative Variable
Xiuxian Li, Xinlei Yi, Lihua Xie
This paper investigates distributed online convex optimization in the presence of an aggregative variable without any global/central coordinators over a multi-agent network, where…
Distributed Aggregative Optimization over Multi-Agent Networks
Xiuxian Li, Lihua Xie, Yiguang Hong
This paper proposes a new framework for distributed optimization, called distributed aggregative optimization, which allows local objective functions to be dependent not only on th…
Distributed Bandit Online Convex Optimization with Time-Varying Coupled Inequality Constraints
Xinlei Yi, Xiuxian Li, Tao Yang +3
This paper considers the problem of distributed bandit online convex optimization with time-varying coupled inequality constraints. This problem can be defined as a repeated game b…
Differentially private Nash equilibrium seeking for networked aggregative games
Maojiao Ye, Guoqiang Hu, Lihua Xie +1
This paper considers the privacy-preserving Nash equilibrium seeking strategy design for a class of networked aggregative games, in which the players' objective functions are consi…
Distributed Algorithms for Computing a Fixed Point of Multi-Agent Nonexpansive Operators
Xiuxian Li, Lihua Xie
This paper investigates the problem of finding a fixed point for a global nonexpansive operator under time-varying communication graphs in real Hilbert spaces, where the global ope…
Optimal Decentralized Control with Asymmetric Partial Information Sharing
Xiao Liang, Qingyuan Qi, Huanshui Zhang +1
This paper considers the optimal decentralized control for networked control systems (NCSs) with asymmetric partial information sharing between two controllers. In this NCSs model,…
Distributed Proximal Algorithms for Multi-Agent Optimization with Coupled Inequality Constraints
Xiuxian Li, Gang Feng, Lihua Xie
This paper aims to address distributed optimization problems over directed and time-varying networks, where the global objective function consists of a sum of locally accessible co…
Distributed Online Convex Optimization with Time-Varying Coupled Inequality Constraints
Xinlei Yi, Xiuxian Li, Lihua Xie +1
This paper considers distributed online optimization with time-varying coupled inequality constraints. The global objective function is composed of local convex cost and regulariza…
Distributed Consensus over Markovian Packet Loss Channels
Liang Xu, Yilin Mo, Lihua Xie
This paper studies the consensusability problem of multi-agent systems (MASs), where agents communicate with each other through Markovian packet loss channels. We try to determine…
Remote State Estimation with Stochastic Event-triggered Sensor Schedule in the Presence of Packet Drops
Liang Xu, Yilin Mo, Lihua Xie
This paper studies the remote state estimation problem of linear time-invariant systems with stochastic event-triggered sensor schedules in the presence of packet drops between the…
Distributed Online Optimization for Multi-Agent Networks with Coupled Inequality Constraints
Xiuxian Li, Xinlei Yi, Lihua Xie
This paper investigates the distributed online optimization problem over a multi-agent network subject to local set constraints and coupled inequality constraints, which has a lot…
Consensusability of Multi-agent Systems with Delay and Packet Dropout Under Predictor-like Protocols
Juanjuan Xu, Huanshui Zhang, Lihua Xie
This paper considers the consensusability of multi-agent systems with delay and packet dropout. By proposing a kind of predictor-like protocol, sufficient and necessary conditions…
Output Feedback Control Based on State and Disturbance Estimation
Wuhua Hu, Eduardo F. Camacho, Lihua Xie
Recently developed control methods with strong disturbance rejection capabilities provide a useful option for control design. The key lies in a general concept of disturbance and e…
A Unified Strategy for Solution Seeking in Graphical N-coalition Noncooperative Games
Maojiao Ye, Guoqiang Hu, Frank L. Lewis +1
This paper aims to reduce the communication and computation costs of the Nash equilibrium seeking strategy for the -coalition noncooperative games proposed in [1]. The objective…
A Bregman Splitting Algorithm for Distributed Optimization over Networks
Jinming Xu, Shanying Zhu, Yeng Chai Soh +1
We consider distributed optimization problems in which a group of agents are to collaboratively seek the global optimum through peer-to-peer communication networks. The problem ari…
Continuous-Time Distributed Algorithms for Extended Monotropic Optimization Problems
Xianlin Zeng, Peng Yi, Yiguang Hong +1
This paper studies distributed algorithms for the extended monotropic optimization problem, which is a general convex optimization problem with a certain separable structure. The c…