<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Privacy-Preserving Technology on BriefArc</title><link>https://briefarc.com/tags/privacy-preserving-technology/</link><description>Recent content in Privacy-Preserving Technology on BriefArc</description><image><title>BriefArc</title><url>https://briefarc.com/images/og-cover.png</url><link>https://briefarc.com/images/og-cover.png</link></image><generator>Hugo</generator><language>en-us</language><lastBuildDate>Wed, 29 Apr 2026 11:31:44 +0000</lastBuildDate><atom:link href="https://briefarc.com/tags/privacy-preserving-technology/index.xml" rel="self" type="application/rss+xml"/><item><title>How MIT's New Method Lets You Train AI on Your Phone Without Sharing Your Data</title><link>https://briefarc.com/posts/how-mit-s-new-method-lets-you-train-ai-on-your-phone-without-sharing-your-data/</link><pubDate>Wed, 29 Apr 2026 11:31:44 +0000</pubDate><guid>https://briefarc.com/posts/how-mit-s-new-method-lets-you-train-ai-on-your-phone-without-sharing-your-data/</guid><description>MIT researchers have created a way to train AI models locally on devices like phones, keeping your data private and using less energy. Here&amp;#39;s how it works and why it matters for your privacy.</description></item></channel></rss>