1 citations · 1 across the 8 of their papers we have counts for
8 papers
DeFed-GMM-DaDiL: A Decentralized Federated Framework for Domain Adaptation
Rebecca Clain, Eduardo Fernandes Montesuma, Fred Ngole Mboula
Decentralized multi-source domain adaptation seeks to transfer knowledge from multiple heterogeneous and related source domains to an unlabeled target domain in a decentralized set…
On the Role of DAG topology in Energy-Aware Cloud Scheduling : A GNN-Based Deep Reinforcement Learning Approach
Anas Hattay, Fred Ngole Mboula, Eric Gascard +1
Cloud providers must assign heterogeneous compute resources to workflow DAGs while balancing competing objectives such as completion time, cost, and energy consumption. In this wor…
Decentralized Federated Dataset Dictionary Learning for Multi-Source Domain Adaptation
Rebecca Clain, Eduardo Fernandes Montesuma, Fred Ngolè Mboula
Decentralized Multi-Source Domain Adaptation (DMSDA) is a challenging task that aims to transfer knowledge from multiple related and heterogeneous source domains to an unlabeled ta…
Unsupervised Anomaly Detection through Mass Repulsing Optimal Transport
Eduardo Fernandes Montesuma, Adel El Habazi, Fred Ngole Mboula
Detecting anomalies in datasets is a longstanding problem in machine learning. In this context, anomalies are defined as a sample that significantly deviates from the remaining dat…
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…