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http://hdl.handle.net/10609/131746
Title: | Red de Federated Learning: de modelo cliente / servidor a P2P |
Author: | García Pérez, Tomás |
Tutor: | Freitag, Felix |
Abstract: | As a result of a previous Master's Thesis, a software was obtained that applied the concept of Federated Learning, that is, the ability to do Machine Learning without the need to share or centralize the data in a single machine. This software followed the original design proposed by Google engineers, in which there is a central server and several client nodes that perform Machine Learning. The main objective of this project is to realize the decentralized P2P version of this software, in which all nodes do not have any defined role. |
Keywords: | federated learning machine learning privacy distributed computation P2P |
Document type: | info:eu-repo/semantics/masterThesis |
Issue Date: | Jun-2021 |
Publication license: | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
Appears in Collections: | Trabajos finales de carrera, trabajos de investigación, etc. |
Files in This Item:
File | Description | Size | Format | |
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GarciaPerezTomas_ProductoFinal_v2_TFM.zip | Producto software final obtenido en el TFM | 639,69 kB | Unknown | View/Open |
tomgarTFM0621memoria.pdf | Memoria del TFM | 3,91 MB | Adobe PDF | View/Open |
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