13 citations · 18 across the 9 of their papers we have counts for
9 papers · 1 filter
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…
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…
Distributed Deep Learning with Event-Triggered Communication
Jemin George, Prudhvi Gurram
We develop a Distributed Event-Triggered Stochastic GRAdient Descent (DETSGRAD) algorithm for solving non-convex optimization problems typically encountered in distributed deep lea…
Distributed Stochastic Gradient Method for Non-Convex Problems with Applications in Supervised Learning
Jemin George, Tao Yang, He Bai +1
We develop a distributed stochastic gradient descent algorithm for solving non-convex optimization problems under the assumption that the local objective functions are twice contin…
Distributed Least Squares Solver for Network Linear Equations
Tao Yang, Jemin George, Jiahu Qin +2
In this paper, we study the problem of finding the least square solutions of over-determined linear algebraic equations over networks in a distributed manner. Each node has access…
Distributed Robust Dynamic Average Consensus with Dynamic Event-Triggered Communication
Jemin George, Xinlei Yi, Tao Yang
This paper presents the formulation and analysis of a fully distributed dynamic event-triggered communication based robust dynamic average consensus algorithm. Dynamic average cons…