activity
20162024
most citedDistributed Optimization for Second-Order Multi-Agent Systems with Dynamic Event-Triggered Communication

89 citations · 129 across the 22 of their papers we have counts for

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Showing 2020Show all

7 papers · 1 filter

eess.SY2020★ 1 cited

Decomposability and Parallel Computation of Multi-Agent LQR

Gangshan Jing, He Bai, Jemin George +1

Individual agents in a multi-agent system (MAS) may have decoupled open-loop dynamics, but a cooperative control objective usually results in coupled closed-loop dynamics thereby m…

math.OC2020★ 5 cited

High-Resolution Modeling of the Fastest First-Order Optimization Method for Strongly Convex Functions

Boya Sun, Jemin George, Solmaz Kia

Motivated by the fact that the gradient-based optimization algorithms can be studied from the perspective of limiting ordinary differential equations (ODEs), here we derive an ODE…

eess.SY2020

Model-Free Optimal Control of Linear Multi-Agent Systems via Decomposition and Hierarchical Approximation

Gangshan Jing, He Bai, Jemin George +1

Designing the optimal linear quadratic regulator (LQR) for a large-scale multi-agent system (MAS) is time-consuming since it involves solving a large-size matrix Riccati equation.…

eess.SY2020

Hierarchical Control of Multi-Agent Systems using Online Reinforcement Learning

He Bai, Jemin George, Aranya Chakrabortty

We propose a new reinforcement learning based approach to designing hierarchical linear quadratic regulator (LQR) controllers for heterogeneous linear multi-agent systems with unkn…

stat.ML2020★ 1 cited

A Decentralized Approach to Bayesian Learning

Anjaly Parayil, He Bai, Jemin George +1

Motivated by decentralized approaches to machine learning, we propose a collaborative Bayesian learning algorithm taking the form of decentralized Langevin dynamics in a non-convex…

cs.LG2020

SQuARM-SGD: Communication-Efficient Momentum SGD for Decentralized Optimization

Navjot Singh, Deepesh Data, Jemin George +1

In this paper, we propose and analyze SQuARM-SGD, a communication-efficient algorithm for decentralized training of large-scale machine learning models over a network. In SQuARM-SG…

math.OC2020

A Finite-Time Algorithm for the Distributed Tracking of Maneuvering Target

Jemin George

This paper presents a novel distributed algorithm for tracking a maneuvering target using bearing or direction of arrival measurements collected by a networked sensor array. The pr…