A Simple Python Testbed for Federated Learning Algorithms

M. Popovic, M. Popovic, I. Kastelan, Miodrag Djukic, S. Ghilezan
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引用次数: 4

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.
联邦学习算法的简单Python测试平台
目前,许多研究人员正在开发各种分布式和去中心化的联邦学习算法框架。然而,开发这样一个针对边缘系统中的智能物联网的框架仍然是一个开放的挑战。在本文中,我们提出了针对该挑战的解决方案,称为Python Testbed for Federated Learning Algorithms。该解决方案是用纯Python编写的,它支持集中式和分散式算法。通过三个简单的算法实例验证了该方法的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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