Demo Abstract: A Hardware Prototype Targeting Federated Learning with User Mobility and Device Heterogeneity
Demo Abstract: A Hardware Prototype Targeting Federated Learning with User Mobility and Device Heterogeneity
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演示摘要：针对具有用户移动性和设备异构性的联邦学习的硬件原型
DOI：
10.1145/3576842.3589160
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发表时间：
2023
期刊：
影响因子：
--
通讯作者：
Marculescu, Radu
中科院分区：
文献类型：
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作者：
Farcas, Allen-Jasmin;Marculescu, Radu
本文提出了一种新的硬件原型，以探索集中式和分层式联邦学习系统如何受到现实世界设备分布，可用性和异构性的影响。我们的研究结果表明，相当大的学习性能下降和浪费的能量时，用户的移动性占训练。因此，我们提供了一个原型，可用作设计探索工具，以更好地设计，校准和评估FL系统的实际部署。
This paper presents a new hardware prototype to explore how centralized and hierarchical federated learning systems are impacted by real-world devices distribution, availability, and heterogeneity. Our results show considerable learning performance degradation and wasted energy during training when users mobility is accounted for. Hence, we provide a prototype that can be used as a design exploration tool to better design, calibrate and evaluate FL systems for real-world deployment.