Sunday-FL – Developing Open Source Platform for Federated Learning

P. Niedziela, Anastasiya Danilenka, Dominik Kolasa, M. Ganzha, M. Paprzycki, Kumar Nalinaksh
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引用次数: 1

Abstract

Since its inception, in approximately 2017, federated learning became an area of intensive research. Obviously, such research requires tools that can be used for experimentation. Here, the biggest industrial players proposed their own platforms, but these platforms are anchored in tools that they “promote”. Moreover, they are mainly "all-in-one" solutions, aimed at facilitating the federate learning process, rather than supporting research “about it”. Taking this into account, we have decided to start developing an open source modular flexible federated learning platform. The aim of this contribution is to briefly summarize key aspects of federated learning and, in this context, to introduce our platform.
周日fl -开发联邦学习的开源平台
自大约2017年成立以来,联邦学习成为了一个深入研究的领域。显然,这样的研究需要可以用于实验的工具。在这里,最大的行业参与者提出了他们自己的平台,但这些平台是锚定在他们“推广”的工具中。此外,它们主要是“一体化”解决方案,旨在促进联邦学习过程,而不是支持“关于它”的研究。考虑到这一点,我们决定开始开发一个开源模块化灵活的联邦学习平台。本文的目的是简要总结联邦学习的关键方面,并在此背景下介绍我们的平台。
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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