A Simple Python Testbed for Federated Learning Algorithms

Nowadays many researchers are developing various distributed and decentralized frameworks for federated learning algorithms. However, development of such a framework targeting smart Internet of Things in edge systems is still an open challenge. In this paper, we present our solution to that challeng...

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Bibliographic Details
Published in2023 Zooming Innovation in Consumer Technologies Conference (ZINC) pp. 148 - 153
Main Authors Popovic, Miroslav, Popovic, Marko, Kastelan, Ivan, Djukic, Miodrag, Ghilezan, Silvia
Format Conference Proceeding
LanguageEnglish
Published IEEE 29.05.2023
Subjects
decentralized intelligence
distributed systems
Edge computing
Federated learning
Internet of Things
Python
Technological innovation
Zinc
Online AccessGet full text
DOI10.1109/ZINC58345.2023.10173859

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Summary:Nowadays many researchers are developing various distributed and decentralized frameworks for federated learning algorithms. However, development of such a framework targeting smart Internet of Things in edge systems is still an open challenge. In this paper, we present our solution to that challenge called Python Testbed for Federated Learning Algorithms. The solution is written in pure Python, and it supports both centralized and decentralized algorithms. The usage of the presented solution is both validated and illustrated by three simple algorithm examples.
DOI:10.1109/ZINC58345.2023.10173859