3 papers
cs.LG2024★ 1 cited
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…
cs.CR2023
When approximate design for fast homomorphic computation provides differential privacy guarantees
Arnaud Grivet Sébert, Martin Zuber, Oana Stan +2
While machine learning has become pervasive in as diversified fields as industry, healthcare, social networks, privacy concerns regarding the training data have gained a critical i…
cs.DS2016
Multi-dimensional signal approximation with sparse structured priors using split Bregman iterations
Yoann Isaac, Quentin Barthélemy, Cédric Gouy-Pailler +2
This paper addresses the structurally-constrained sparse decomposition of multi-dimensional signals onto overcomplete families of vectors, called dictionaries. The contribution of…