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Jul, 2019
移动数据包分类的联邦学习方法
A Federated Learning Approach for Mobile Packet Classification
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Evita Bakopoulou, Balint Tillman, Athina Markopoulou
TL;DR
本文提出了一种基于联邦学习的移动数据透明度解决方案,通过在保护个人隐私的前提下,让移动设备协作训练一个全球模型,从而实现网络基础的数据包分类任务,诸如PII、广告请求等。
Abstract
In order to improve
mobile data transparency
, a number of
network-based approaches
have been proposed to inspect packets generated by mobile devices and detect
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