Flautim: A Federated Learning Platform using K8S and Flower

Federated learning (FL) is a cutting-edge technology in artificial intelligence that preserves data privacy and security while reducing the cost of computation and communication. It transforms traditional centralized machine learning and deep learning approaches to enable decentralized model training without the need for data exchange. This work presents Flautim, the first implementation of an FL platform in Brazil and all around Latin America based on Kubernetes (K8S) and Flower framework. Flautim is designed for academic use, enabling researchers without a technical background to conduct FL experiments on this platform easily. Also, this platform allows for the development of applications involving data gathered from connected vehicles. Thus, this study aims to introduce this new FL platform, providing comprehensive details of its architecture.

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Published
2024-10-14
DOI
https://doi.org/10.5753/webmedia_estendido.2024.244009
Primary Topic
Privacy-Preserving Technologies in Data
Type
article
Field-Weighted Citation Impact
0.00

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article

Flautim: A Federated Learning Platform using K8S and Flower

Martı́n Gómez Ravetti, Fabricio J. Erazo-Costa, Omid Orang, Pedro Pita Barros et al.
1 links
Privacy-Preserving Technologies in Data
article

Flautim: A Federated Learning Platform using K8S and Flower

Martı́n Gómez Ravetti, Fabricio J. Erazo-Costa, Omid Orang, Pedro Pita Barros, Gisele Barbosa dos Santos, Frederico Gadelha Guimarães, Heitor S. Ramos, Petrônio Cândido de Lima e Silva, Antonio A. F. Loureiro, Maria de Lourdes Aguiar Oliveira, A. L. Bastos, M Costa, F Silva
article en

Abstract

Federated learning (FL) is a cutting-edge technology in artificial intelligence that preserves data privacy and security while reducing the cost of computation and communication. It transforms traditional centralized machine learning and deep learning approaches to enable decentralized model training without the need for data exchange. This work presents Flautim, the first implementation of an FL platform in Brazil and all around Latin America based on Kubernetes (K8S) and Flower framework. Flautim is designed for academic use, enabling researchers without a technical background to conduct FL experiments on this platform easily. Also, this platform allows for the development of applications involving data gathered from connected vehicles. Thus, this study aims to introduce this new FL platform, providing comprehensive details of its architecture.

Instituto Federal de Educação Ciência e Tecnologia do Norte de Minas Gerais (BR)
Fundação de Amparo à Pesquisa do Estado de São Paulo, Conselho Nacional de Desenvolvimento Científico e Tecnológico
Openalex Percentile: Top 84%
Privacy-Preserving Technologies in Data
DOIOpen Access PDFOpenAlex
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Flautim: A Federated Learning Platform using K8S and Flower — Martı́n Gómez Ravetti, Fabricio J. Erazo-Costa, et al. · (2024) | TGRS Research Map | TGRS