1 citations · 1 across the 2 of their papers we have counts for
2 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.LG2022
Federated learning with incremental clustering for heterogeneous data
Fabiola Espinoza Castellon, Aurelien Mayoue, Jacques-Henri Sublemontier +1
Federated learning enables different parties to collaboratively build a global model under the orchestration of a server while keeping the training data on clients' devices. Howeve…