6 citations · 20 across the 7 of their papers we have counts for
7 papers
Convergence Properties of the Distributed Projected Subgradient Algorithm over General Graphs
Weijian Li, Zihan Chen, Youcheng Lou +1
In this paper, we revisit a well-known distributed projected subgradient algorithm which aims to minimize a sum of cost functions with a common set constraint. In contrast to most…
Network Flows that Solve Least Squares for Linear Equations
Yang Liu, Youcheng Lou, Brian D. O. Anderson +1
This paper presents a first-order {distributed continuous-time algorithm} for computing the least-squares solution to a linear equation over networks. Given the uniqueness of the s…
Privacy Preservation in Distributed Subgradient Optimization Algorithms
Youcheng Lou, Lean Yu, Shouyang Wang
Privacy preservation is becoming an increasingly important issue in data mining and machine learning. In this paper, we consider the privacy preserving features of distributed subg…
Distributed Surrounding Design of Target Region with Complex Adjacency Matrices
Youcheng Lou, Yiguang Hong
This is a complete version of the 6-page IEEE TAC technical note [1]. In this paper, we consider the distributed surrounding of a convex target set by a group of agents with switch…
Distributed Continuous-time Approximate Projection Protocols for Shortest Distance Optimization Problems
Youcheng Lou, Yiguang Hong, Shouyang Wang
In this paper, we investigate the distributed shortest distance optimization problem for a multi-agent network to cooperatively minimize the sum of the quadratic distances from som…
Nash Equilibrium Computation in Subnetwork Zero-Sum Games with Switching Communications
Youcheng Lou, Yiguang Hong, Lihua Xie +2
In this paper, we investigate a distributed Nash equilibrium computation problem for a time-varying multi-agent network consisting of two subnetworks, where the two subnetworks sha…
An Approximate Projected Consensus Algorithm for Computing Intersection of Convex Sets
Youcheng Lou, Guodong Shi, Karl Henrik Johansson +1
In this paper, we propose an approximate projected consensus algorithm for a network to cooperatively compute the intersection of convex sets. Instead of assuming the exact convex…