7 citations
- Laboratoire d'Informatique de GrenobleFR4 papers
- Institut des langues et cultures d'Europe, Amérique, Afrique, Asie et AustralieFR3 papers
- Université Grenoble AlpesFR3 papers
- DATAMOVE: Mouvements de données pour le calcul haute performanceFR2 papers
- Centre National de la Recherche ScientifiqueFR1 paper
- École Normale Supérieure Paris-SaclayFR1 paper
- École Normale Supérieure - PSLFR1 paper
- Électricité de France (France)FR1 paper
- Institut polytechnique de GrenobleFR1 paper
- Premier UniversityBD1 paper
- Université d'Évry Val-d'EssonneFR1 paper
- Université Paris-SaclayFR1 paper
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cs.LG2022★ 1 cited
One Gradient Frank-Wolfe for Decentralized Online Convex and Submodular Optimization
Tuan-Anh Nguyen, Nguyen Kim Thang, Denis Trystram
Decentralized learning has been studied intensively in recent years motivated by its wide applications in the context of federated learning. The majority of previous research focus…
cs.LG2022
Online Decentralized Frank-Wolfe: From theoretical bound to applications in smart-building
Angan Mitra, Nguyen Kim Thang, Tuan-Anh Nguyen +2
The design of decentralized learning algorithms is important in the fast-growing world in which data are distributed over participants with limited local computation resources and…
cs.LG2021
Deep Surrogate for Direct Time Fluid Dynamics
Lucas Meyer, Louen Pottier, Alejandro Ribes +1
The ubiquity of fluids in the physical world explains the need to accurately simulate their dynamics for many scientific and engineering applications. Traditionally, well establish…