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Contribution au développement de l’apprentissage profond dans les systèmes distribués

Corentin Hardy 1, 2
2 DIONYSOS - Dependability Interoperability and perfOrmance aNalYsiS Of networkS
IRISA-D2 - RÉSEAUX, TÉLÉCOMMUNICATION ET SERVICES, Inria Rennes – Bretagne Atlantique
Abstract : Deep learning enables the development of a growing number of services. However, it requires large training databases and a lot of computing power. In order to reduce the costs of this deep learning, we propose a distributed computing setup to enable collaborative learning. Future users can participate with their devices and their data without moving private data in datacenters. We propose methods to train deep neural network in this distibuted system context.
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Corentin Hardy. Contribution au développement de l’apprentissage profond dans les systèmes distribués. Intelligence artificielle [cs.AI]. Université Rennes 1, 2019. Français. ⟨NNT : 2019REN1S020⟩. ⟨tel-02284916⟩

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