Dataset Dictionary Learning in a Wasserstein Space for Federated Domain Adaptation

no code implementations • 16 Jul 2024 • Eduardo Fernandes Montesuma, Fabiola Espinoza Castellon, Fred Ngolè Mboula, Aurélien Mayoue, Antoine Souloumiac, Cédric Gouy-Pailler

Multi-Source Domain Adaptation (MSDA) is a challenging scenario where multiple related and heterogeneous source datasets must be adapted to an unlabeled target dataset.

Dictionary Learning Domain Adaptation

Federated Dataset Dictionary Learning for Multi-Source Domain Adaptation

no code implementations • 14 Sep 2023 • Fabiola Espinoza Castellon, Eduardo Fernandes Montesuma, Fred Ngolè Mboula, Aurélien Mayoue, Antoine Souloumiac, Cédric Gouy-Pailler

The proposed framework, FedDaDiL, tackles the resulting challenge through dictionary learning of empirical distributions.

Dictionary Learning Domain Adaptation