Towards a Federated Learning Approach for Privacy-aware Analysis of Semantically Enriched Mobility Data - Archive ouverte HAL
Communication Dans Un Congrès Année : 2021

Towards a Federated Learning Approach for Privacy-aware Analysis of Semantically Enriched Mobility Data

Domaines

Intelligence artificielle [cs.AI] Base de données [cs.DB] Informatique mobile Autre [cs.OH]

Karine Zeitouni  : Connectez-vous pour contacter le contributeur

https://hal.science/hal-04371696

Soumis le : mercredi 3 janvier 2024-23:54:33

Dernière modification le : lundi 22 avril 2024-16:23:53

Fichier non déposé

Dates et versions

hal-04371696 , version 1 (03-01-2024)

Licence

Paternité - Partage selon les Conditions Initiales

Identifiants

Citer

Zaineb Chelly Dagdia, Chiara Renso, Karine Zeitouni, Nazim Agoulmine. Towards a Federated Learning Approach for Privacy-aware Analysis of Semantically Enriched Mobility Data. HPDC '21: The 30th International Symposium on High-Performance Parallel and Distributed Computing, Jun 2021, Virtual Event Sweden, Sweden. pp.17-20, ⟨10.1145/3452369.3463823⟩. ⟨hal-04371696⟩

Exporter

BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite

Collections

UNIV-EVRY UVSQ DAVID UNIV-PARIS-SACLAY GS-HUMANITIES-HERITAGE GS-COMPUTER-SCIENCE GS-LIFE-SCIENCES-HEALTH GS-SPORT-HUMAN-MOVEMENT
36 Consultations
0 Téléchargements

Altmetric

Partager

More