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 | Abstract: | 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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