6 citations · 6 across the 1 of their papers we have counts for
4 papers
Federated Block Coordinate Descent Scheme for Learning Global and Personalized Models
Ruiyuan Wu, Anna Scaglione, Hoi-To Wai +3
In federated learning, models are learned from users' data that are held private in their edge devices, by aggregating them in the service provider's "cloud" to obtain a global mod…
Hybrid Inexact BCD for Coupled Structured Matrix Factorization in Hyperspectral Super-Resolution
Ruiyuan Wu, Hoi-To Wai, Wing-Kin Ma
This paper develops a first-order optimization method for coupled structured matrix factorization (CoSMF) problems that arise in the context of hyperspectral super-resolution (HSR)…
Is There Any Recovery Guarantee with Coupled Structured Matrix Factorization for Hyperspectral Super-Resolution?
Huikang Liu, Ruiyuan Wu, Wing-Kin Ma
Coupled structured matrix factorization (CoSMF) for hyperspectral super-resolution (HSR) has recently drawn significant interest in hyperspectral imaging for remote sensing. Presen…
Hyperspectral Super-Resolution via Global-Local Low-Rank Matrix Estimation
Ruiyuan Wu, Wing-Kin Ma, Xiao Fu +1
Hyperspectral super-resolution (HSR) is a problem that aims to estimate an image of high spectral and spatial resolutions from a pair of co-registered multispectral (MS) and hypers…