Ir al contenido (pulsa Retorno)

Universitat Politècnica de Catalunya

    • Català
    • Castellano
    • English
    • LoginRegisterLog in (no UPC users)
  • mailContact Us
  • world English 
    • Català
    • Castellano
    • English
  • userLogin   
      LoginRegisterLog in (no UPC users)

UPCommons. Global access to UPC knowledge

63.156 UPC academic works
You are here:
View Item 
  •   DSpace Home
  • Treballs acadèmics
  • Màsters oficials
  • Master's degree in Advanced Telecommunication Technologies (MATT)
  • View Item
  •   DSpace Home
  • Treballs acadèmics
  • Màsters oficials
  • Master's degree in Advanced Telecommunication Technologies (MATT)
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Design, Implementation, and Analysis of a Federated Learning Architecture

Thumbnail
View/Open
FerrateGabriel_Memoria.pdf (5,173Mb)
Share:
 
  View Usage Statistics
Cita com:
hdl:2117/343869

Show full item record
Ferraté I Cuartero, Gabriel
Tutor / directorMahmoodi, Toktam; Solé Pareta, JosepMés informacióMés informacióMés informació
CovenanteeKing's College London
Document typeMaster thesis
Date2021-01-28
Rights accessOpen Access
All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder
Abstract
Artificial Intelligence (AI) has become the go-to technology for many applications. This method, even having huge advantages in many areas, also require from training step, which is very power-and-time consuming and has some privacy concerns. As a consequence, distributed training techniques are emerging, such as Federated Learning (FL), because it does not only enables to distribute the computational load but training sensible data locally without the necessity of sending it to a main server, for privacy reasons. In this thesis, we present a framework that achieves exactly this, tested with tactile data, which as far as we are aware, has never been tried before. The framework is lightweight and uses encrypted HTTP protocol to exchange information between the different parties. It is benchmarked in different scenarios, such as same-server and multiple-server configurations, and some results show how it can be superior/faster to the centralized scenario, with the plus of more robust security.
Description
Study the effects of the asynchrony of heterogeneous devices in Federated Learning Systems. Understanding asynchrony as the global aggregations not done simulteanously in different nodes, while heterogeneous devices are those having different computation power in different nodes.
DegreeMÀSTER UNIVERSITARI EN TECNOLOGIES AVANÇADES DE TELECOMUNICACIÓ (Pla 2019)
URIhttp://hdl.handle.net/2117/343869
Collections
  • Màsters oficials - Master's degree in Advanced Telecommunication Technologies (MATT) [89]
Share:
 
  View Usage Statistics

Show full item record

FilesDescriptionSizeFormatView
FerrateGabriel_Memoria.pdf5,173MbPDFView/Open

Browse

This CollectionBy Issue DateAuthorsOther contributionsTitlesSubjectsThis repositoryCommunities & CollectionsBy Issue DateAuthorsOther contributionsTitlesSubjects

© UPC Obrir en finestra nova . Servei de Biblioteques, Publicacions i Arxius

info.biblioteques@upc.edu

  • About This Repository
  • Contact Us
  • Send Feedback
  • Inici de la pàgina