<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Privacy-Preserving Machine Learning | Nicola Gabriele</title><link>https://nicolagabriele.github.io/nicolagabriele/tags/privacy-preserving-machine-learning/</link><atom:link href="https://nicolagabriele.github.io/nicolagabriele/tags/privacy-preserving-machine-learning/index.xml" rel="self" type="application/rss+xml"/><description>Privacy-Preserving Machine Learning</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Mon, 07 Jul 2025 00:00:00 +0000</lastBuildDate><image><url>https://nicolagabriele.github.io/nicolagabriele/media/icon_hu7729264130191091259.png</url><title>Privacy-Preserving Machine Learning</title><link>https://nicolagabriele.github.io/nicolagabriele/tags/privacy-preserving-machine-learning/</link></image><item><title>Federated Learning in the Edge-Cloud Continuum: A Task-Based Approach with Colony</title><link>https://nicolagabriele.github.io/nicolagabriele/publication/colony_edge_ai/</link><pubDate>Mon, 07 Jul 2025 00:00:00 +0000</pubDate><guid>https://nicolagabriele.github.io/nicolagabriele/publication/colony_edge_ai/</guid><description/></item></channel></rss>