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Optimal Polynomial Filtering for Accelerating Distributed Consensus

Publications associées (30)

SPEEDING UP KRYLOV SUBSPACE METHODS FOR COMPUTING f(A)b VIA RANDOMIZATION

This work is concerned with the computation of the action of a matrix function f(A), such as the matrix exponential or the matrix square root, on a vector b. For a general matrix A, this can be done by computing the compression of A onto a suitable Krylov ...

Siam Publications2024

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EPFL2024

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Penalized denoising of vehicle trajectories collected by a swarm of drones

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Vehicle trajectory datasets collected in urban traffic environments with drones pose unique chal- lenges in terms of denoising due to extensive visual restrictions, perspective distortions and human- induced errors. This article taps into the unexplored po ...

2022

Optimal Polynomial Filtering for Accelerating Distributed Consensus

SPEEDING UP KRYLOV SUBSPACE METHODS FOR COMPUTING f(A)b VIA RANDOMIZATION

Optimization Algorithms for Decentralized, Distributed and Collaborative Machine Learning

Optimal digital filter selection for remote photoplethysmography (rPPG) signal conditioning

Preserving the positivity of the deformation gradient determinant in intergrid interpolation by combining RBFs and SVD: Application to cardiac electromechanics

Singular quadratic eigenvalue problems: linearization and weak condition numbers

Augmented Lagrangian Methods for Provable and Scalable Machine Learning

Model Predictive Control for Multi-Agent Systems under Limited Communication and Time-Varying Network Topology

Filter-Informed Spectral Graph Wavelet Networks for Multiscale Feature Extraction and Intelligent Fault Diagnosis

Penalized denoising of vehicle trajectories collected by a swarm of drones

Graph Chatbot

SPEEDING UP KRYLOV SUBSPACE METHODS FOR COMPUTING f(A)b VIA RANDOMIZATION

Optimization Algorithms for Decentralized, Distributed and Collaborative Machine Learning

Optimal digital filter selection for remote photoplethysmography (rPPG) signal conditioning

Preserving the positivity of the deformation gradient determinant in intergrid interpolation by combining RBFs and SVD: Application to cardiac electromechanics

Singular quadratic eigenvalue problems: linearization and weak condition numbers

A mixed precision LOBPCG algorithm

Augmented Lagrangian Methods for Provable and Scalable Machine Learning

Model Predictive Control for Multi-Agent Systems under Limited Communication and Time-Varying Network Topology

Filter-Informed Spectral Graph Wavelet Networks for Multiscale Feature Extraction and Intelligent Fault Diagnosis

Penalized denoising of vehicle trajectories collected by a swarm of drones

A mixed precision LOBPCG algorithm