3 citations · 7 across the 11 of their papers we have counts for
34 papers
On the Performance of Gradient Tracking with Local Updates
Edward Duc Hien Nguyen, Sulaiman A. Alghunaim, Kun Yuan +1
We study the decentralized optimization problem where a network of agents seeks to minimize the average of a set of heterogeneous non-convex cost functions distributedly. State…
A State Feedback Controller for Mitigation of Continuous-Time Networked SIS Epidemics
Yuan Wang, Sebin Gracy, César A. Uribe +2
The paper considers continuous-time networked susceptible-infected-susceptible (SIS) diseases spreading over a population. Each agent represents a sub-population and has its own he…
Unbounded Gradients in Federated Learning with Buffered Asynchronous Aggregation
Mohammad Taha Toghani, César A. Uribe
Synchronous updates may compromise the efficiency of cross-device federated learning once the number of active clients increases. The \textit{FedBuff} algorithm (Nguyen et al., 202…
On Arbitrary Compression for Decentralized Consensus and Stochastic Optimization over Directed Networks
Mohammad Taha Toghani, César A. Uribe
We study the decentralized consensus and stochastic optimization problems with compressed communications over static directed graphs. We propose an iterative gradient-based algorit…
On Acceleration of Gradient-Based Empirical Risk Minimization using Local Polynomial Regression
Ekaterina Trimbach, Edward Duc Hien Nguyen, César A. Uribe
We study the acceleration of the Local Polynomial Interpolation-based Gradient Descent method (LPI-GD) recently proposed for the approximate solution of empirical risk minimization…
On Distributed Exact Sparse Linear Regression over Networks
Tu Anh-Nguyen, César A. Uribe
In this work, we propose an algorithm for solving exact sparse linear regression problems over a network in a distributed manner. Particularly, we consider the problem where data i…