Julien M. Hendrickx | DeepAI

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∙ 10/03/2022

Automated Performance Estimation for Decentralized Optimization via Network Size Independent Problems

We develop a novel formulation of the Performance Estimation Problem (PE...

0 Sebastien Colla, et al. ∙

∙ 07/19/2022

Resource allocation in open multi-agent systems: an online optimization analysis

The resource allocation problem consists of the optimal distribution of ...

0 Renato Vizuete, et al. ∙

∙ 05/20/2022

Random Coordinate Descent for Resource Allocation in Open Multi-Agent Systems

We analyze the distributed random coordinate descent algorithm for solvi...

0 Charles Monnoyer de Galland, et al. ∙

∙ 03/11/2022

Automatic Performance Estimation for Decentralized Optimization

We present a methodology to automatically compute worst-case performance...

0 Sebastien Colla, et al. ∙

∙ 09/29/2021

Random coordinate descent algorithm for open multi-agent systems with complete topology and homogeneous agents

We study the convergence in expectation of the Random Coordinate Descent...

0 Charles Monnoyer de Galland, et al. ∙

∙ 08/02/2021

2-D Directed Formation Control Based on Bipolar Coordinates

This work proposes a novel 2-D formation control scheme for acyclic tria...

0 Farhad Mehdifar, et al. ∙

∙ 03/26/2021

Automated Worst-Case Performance Analysis of Decentralized Gradient Descent

We develop a methodology to automatically compute worst-case performance...

0 Sebastien Colla, et al. ∙

∙ 03/24/2021

Are energy savings the only reason for the emergence of bird echelon formation?

We analyze the conditions under which the emergence of frequently observ...

0 Mingming Shi, et al. ∙

∙ 09/11/2020

Stability of Decentralized Gradient Descent in Open Multi-Agent Systems

The aim of decentralized gradient descent (DGD) is to minimize a sum of ...

0 Julien M. Hendrickx, et al. ∙

∙ 09/07/2020

Open Multi-Agent Systems with Variable Size: the Case of Gossiping

We consider open multi-agent systems, which are systems subject to frequ...

0 Charles Monnoyer de Galland, et al. ∙

∙ 04/25/2020

Low-rank multi-parametric covariance identification

We propose a differential geometric construction for families of low-ran...

0 Antoni Musolas, et al. ∙

∙ 04/14/2020

Fundamental Performance Limitations for Average Consensus in Open Multi-Agent Systems

We derive fundamental performance limitations for intrinsic average cons...

0 Charles Monnoyer de Galland, et al. ∙

∙ 09/05/2019

Lower bound performances for average consensus in open multi-agent systems (extended version)

We derive fundamental limitations on the performances of intrinsic avera...

0 Charles Monnoyer de Galland, et al. ∙

∙ 03/01/2019

Trajectory convergence from coordinate-wise decrease of quadratic energy functions, and applications to platoons

We consider trajectories where the sign of the derivative of each entry ...

0 Julien M. Hendrickx, et al. ∙

∙ 02/01/2019

Graph Resistance and Learning from Pairwise Comparisons

We consider the problem of learning the qualities of a collection of ite...

10 Julien M. Hendrickx, et al. ∙

∙ 12/07/2017

Sets of Stochastic Matrices with Converging Products: Bounds and Complexity

An SIA matrix is a stochastic matrix whose sequence of powers converges ...

0 Pierre-Yves Chevalier, et al. ∙

∙ 09/18/2017

MAX-consensus in open multi-agent systems with gossip interactions

We study the problem of distributed maximum computation in an open multi...

0 Mahmoud Abdelrahim, et al. ∙

∙ 09/15/2017

Open Multi-Agent Systems: Gossiping with Random Arrivals and Departures

We consider open multi-agent systems. Unlike the systems usually studied...

0 Julien M. Hendrickx, et al. ∙

∙ 11/09/2015

Modelling influence and opinion evolution in online collective behaviour

Opinion evolution and judgment revision are mediated through social infl...

0 Corentin Vande Kerckhove, et al. ∙

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