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Title: Red de Federated Learning: de modelo cliente / servidor a P2P
Author: García Pérez, Tomás
Tutor: Freitag, Felix  
Keywords: federated learning
machine learning
distributed computation
Issue Date: Jun-2021
Publisher: Universitat Oberta de Catalunya (UOC)
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.
Language: Spanish
Appears in Collections:Trabajos finales de carrera, trabajos de investigación, etc.

Files in This Item:
File Description SizeFormat 
GarciaPerezTomas_ProductoFinal_v2_TFM.zipProducto software final obtenido en el TFM639,69 kBUnknownView/Open
tomgarTFM0621memoria.pdfMemoria del TFM3,91 MBAdobe PDFThumbnail