Výsledky vyhledávání - "Mayoue, Aurélien"

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Dataset Dictionary Learning in a Wasserstein Space for Federated Domain Adaptation

Autor: Montesuma, Eduardo Fernandes, Castellon, Fabiola Espinoza, Mboula, Fred Ngolè, Mayoue, Aurélien, Souloumiac, Antoine, Gouy-Pailler, Cédric

Multi-Source Domain Adaptation (MSDA) is a challenging scenario where multiple related and heterogeneous source datasets must be adapted to an unlabeled target dataset. Conventional MSDA methods often overlook that data holders may have privacy conce

Externí odkaz: http://arxiv.org/abs/2407.11647

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Fantastyc: Blockchain-based Federated Learning Made Secure and Practical

Autor: Boitier, William, Del Pozzo, Antonella, García-Pérez, Álvaro, Gazut, Stephane, Jobic, Pierre, Lemaire, Alexis, Mahe, Erwan, Mayoue, Aurelien, Perion, Maxence, Rezende, Tuanir Franca, Singh, Deepika, Tucci-Piergiovanni, Sara

Federated Learning is a decentralized framework that enables multiple clients to collaboratively train a machine learning model under the orchestration of a central server without sharing their local data. The centrality of this framework represents

Externí odkaz: http://arxiv.org/abs/2406.03608

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Federated Dataset Dictionary Learning for Multi-Source Domain Adaptation

Autor: Castellon, Fabiola Espinoza, Montesuma, Eduardo Fernandes, Mboula, Fred Ngolè, Mayoue, Aurélien, Souloumiac, Antoine, Gouy-Pailler, Cédric

In this article, we propose an approach for federated domain adaptation, a setting where distributional shift exists among clients and some have unlabeled data. The proposed framework, FedDaDiL, tackles the resulting challenge through dictionary lear

Externí odkaz: http://arxiv.org/abs/2309.07670

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Federated learning with incremental clustering for heterogeneous data

Autor: Castellon, Fabiola Espinoza, Mayoue, Aurelien, Sublemontier, Jacques-Henri, Gouy-Pailler, Cedric

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. However, performance is affected when clients have heterogeneous data. To co

Externí odkaz: http://arxiv.org/abs/2206.08752

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Akademický článek

Comment doper l'intelligence artificielle. (French)

Autor: Le Borgne, Hervé, Dupont, Romain, Mayoue, Aurélien, Sirdey, Renaud, Quoc-Cuong Pham

Publikováno v: Clefs CEA (English); nov2019, Issue 69, p26-29, 4p

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Preprocessing for classification of sparse data : Application to trajectory recognition

Autor: Mayoue, Aurélien, Barthélemy, Quentin, Onis, Sébastien, Larue, Anthony

Publikováno v: SSP 2012, IEEE Statistical Signal Processing Workshop, August 5-8, 2012, Ann Harbour, United States

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______1093::cbb33fd3d51f628a1df8aa8dce66bf2c
http://www.eurecom.fr/publication/3813

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Detection of vapour explosives by a multi-sensor prototype-performance evaluation under laboratory and real conditions

Autor: Veignal Florian, Minot Benoit, Mayoue Aurélien, Barthet Christelle, Besnard Stéphanie, Frenois Celine, Rousier Rodrigue, Pereira Franck

Publikováno v: IEEE Xplore
SENSORS, 2014 IEEE
SENSORS, 2014 IEEE, Nov 2014, Valencia, Spain. pp.6985186, ⟨10.1109/ICSENS.2014.6985186⟩

International audience; This paper depicts the performances of a multi-sensor prototype on explosive vapor detection. The responses of the device in laboratory conditions but also in real life conditions were evaluated. Explosive precursors, explosiv

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b417b017e79460d52916bf719e5310e0
https://hal.science/hal-01905665

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Apprentissage de Dictionnaires Multivariés et Décomposition Parcimonieuse Invariante par Translation et par Rotation 2D

Autor: Barthélemy, Quentin, Larue, Anthony, Mayoue, Aurélien, Mercier, David, Mars, Jerome

Publikováno v: 2011-GRETSI-Actes de Colloque
XXIIIème colloque GRETSI (GRETSI 2011)
XXIIIème colloque GRETSI (GRETSI 2011), Sep 2011, Bordeaux, France. pp.ID134
GRETSI 2011-XXIIIème Colloque francophone de traitement du signal et des images
GRETSI 2011-XXIIIème Colloque francophone de traitement du signal et des images, Sep 2011, Bordeaux, France. pp.ID134

National audience; This article presents a new tool, Multivariate Dictionary Learning Algorithm, able to learn online the elementary structures associated to a multivariate signals set. Once learned, Multivariate Orthogonal Matching Pursuit codes spa

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::c49db3619c303692a62a161f1753aae3
https://hal.archives-ouvertes.fr/hal-00625549/document

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Talking-Face Authentication

Autor: Bredin, Hervé, Mayoue, Aurélien, Chollet, Gérard, Dorizzi, Bernadette

Publikováno v: Guide to Biometric Reference Systems and Performance Evaluation
Dijana Petrovska and Gérard Chollet. Guide to Biometric Reference Systems and Performance Evaluation, Springer Verlag, 2009

International audience

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::4063dfe3e328cc2fa5f20679c12dbcf3
https://hal.archives-ouvertes.fr/hal-01987799

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