BriefGPT.xyz
Feb, 2024
具差分隐私的联邦学习
Federated Learning with Differential Privacy
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Adrien Banse, Jan Kreischer, Xavier Oliva i Jürgens
TL;DR
我们展示了在不同类型的数据上，客户端数量和差分隐私机制的增加对模型性能的影响的实证基准，结果显示在分布式和差分隐私设置中，非独立同分布和小数据集的性能降低最为显著。
Abstract
federated learning
(FL), as a type of
distributed machine learning
, is capable of significantly preserving client's
private data
from bein
→