BriefGPT.xyz
May, 2023
分散学習中的可擴充數據點評估
Scalable Data Point Valuation in Decentralized Learning
HTML
PDF
Konstantin D. Pandl, Chun-Yin Huang, Ivan Beschastnikh, Xiaoxiao Li, Scott Thiebes...
TL;DR
本文介绍了一种基于DDVal的去中心化数据估值方法,该方法能够对联合学习和群智学习中的单个数据点进行估值,并且可以绘制出关于机构贡献的层次性结论,准确度比现有的Shapley值近似方法更高,适用于分布式系统,尤其适用于具有少量大量数据点的多个客户端的数据分布情况
Abstract
Existing research on
data valuation
in federated and
swarm learning
focuses on valuing client contributions and works best when data across clients is independent and identically distributed (IID). In practice, d
→