Authors: Popović, Miroslav
Popović, Marko
Kaštelan, Ivan
Đukić, Miodrag
Ghilezan, Silvia 
Affiliations: Mathematics 
Mathematical Institute of the Serbian Academy of Sciences and Arts 
Title: A Simple Python Testbed for Federated Learning Algorithms
First page: 148
Last page: 153
Conference: 2023 IEEE Zooming Innovation in Consumer Technologies Conference, ZINC 2023, Novi Sad, Serbia
Issue Date: 2023
Rank: M33
ISBN: 979-8-3503-4772-2
DOI: 10.1109/ZINC58345.2023.10173859
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.
Keywords: decentralized intelligence | distributed systems | edge computing | federated learning | Python
Publisher: IEEE

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