1 citations · 1 across the 4 of their papers we have counts for
4 papers
Online Multi-Source Domain Adaptation through Gaussian Mixtures and Dataset Dictionary Learning
Eduardo Fernandes Montesuma, Stevan Le Stanc, Fred Ngolè Mboula
This paper addresses the challenge of online multi-source domain adaptation (MSDA) in transfer learning, a scenario where one needs to adapt multiple, heterogeneous source domains…
Dataset Dictionary Learning in a Wasserstein Space for Federated Domain Adaptation
Eduardo Fernandes Montesuma, Fabiola Espinoza Castellon, Fred Ngolè Mboula +3
Multi-Source Domain Adaptation (MSDA) is a challenging scenario where multiple related and heterogeneous source datasets must be adapted to an unlabeled target dataset. Conventiona…
Multi-Source Domain Adaptation meets Dataset Distillation through Dataset Dictionary Learning
Eduardo Fernandes Montesuma, Fred Ngolè Mboula, Antoine Souloumiac
In this paper, we consider the intersection of two problems in machine learning: Multi-Source Domain Adaptation (MSDA) and Dataset Distillation (DD). On the one hand, the first con…
Federated Dataset Dictionary Learning for Multi-Source Domain Adaptation
Fabiola Espinoza Castellon, Eduardo Fernandes Montesuma, Fred Ngolè Mboula +3
In this article, we propose an approach for federated domain adaptation, a setting where distributional shift exists among clients and some have unlabeled data. The proposed framew…