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Privacy Attacks in Federated Learning

NIST | Cybersecurity Insights
1 year 11 months ago
This post is part of a series on privacy-preserving federated learning. The series is a collaboration between NIST and the UK government’s Centre for Data Ethics and Innovation. Learn more and read all the posts published to date at NIST’s Privacy Engineering Collaboration Space or the CDEI blog . Our first post in the series introduced the concept of federated learning—an approach for training AI models on distributed data by sharing model updates instead of training data. At first glance, federated learning seems to be a perfect fit for privacy since it completely avoids sharing data
Joseph Near, David Darais, Dave Buckley, Mark Durkee

从零开始自定义安卓系统(2) 编译redroid

Posts on 青鸟的博客
1 year 11 months ago
从零开始自定义安卓系统(2) 编译redroid 添加redroid补丁 redroid添加了自己的补丁 1 2 3 # apply redroid patches git clone https://github.com/remote-android/redroid-patches.git ~/redroid-patches ~/redroid-patches/apply-patch.sh . 具体补丁内容可以

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