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Federated learning for privacy protecting optimization of UAV fleet operations

Vaz de Almeida Fontes Neves, Gonçalo (2021) Federated learning for privacy protecting optimization of UAV fleet operations. Master's, ISAE-SUPAERO.

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Item URL in elib:https://elib.dlr.de/185337/
Document Type:Thesis (Master's)
Title:Federated learning for privacy protecting optimization of UAV fleet operations
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Vaz de Almeida Fontes Neves, GonçaloIsae SupaeroUNSPECIFIED
Date:2021
Journal or Publication Title:2021
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Number of Pages:70
Status:Unpublished
Keywords:Federated Learning, Machine Learning, UAV
Institution:ISAE-SUPAERO
Department:Département d’Ingénierie des Systèmes Complexes
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:Components and Systems
DLR - Research area:Aeronautics
DLR - Program:L CS - Components and Systems
DLR - Research theme (Project):L - MRO and Cabin
Location: Hamburg
Institutes and Institutions:Institute of Maintenance, Repair and Overhaul > Maintenance and Repair Technologies
Deposited By: Albrecht, Michael
Deposited On:21 Feb 2022 07:36
Last Modified:21 Feb 2022 07:36

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