<?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>ORNL on BriefArc</title><link>https://briefarc.com/tags/ornl/</link><description>Recent content in ORNL 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 18:31:26 +0000</lastBuildDate><atom:link href="https://briefarc.com/tags/ornl/index.xml" rel="self" type="application/rss+xml"/><item><title>What the Latest Federated AI Research Means for Your Privacy</title><link>https://briefarc.com/posts/what-the-latest-federated-ai-research-means-for-your-privacy/</link><pubDate>Wed, 29 Apr 2026 18:31:26 +0000</pubDate><guid>https://briefarc.com/posts/what-the-latest-federated-ai-research-means-for-your-privacy/</guid><description>New research from Oak Ridge National Laboratory strengthens privacy and security in federated AI. Here&amp;#39;s how it could protect your data in apps like Gboard and health trackers, and what it means for the future of on-device machine learning.</description></item></channel></rss>