<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Decentralized Identifiers on Formize.com Blog</title><link>https://blog.formize.com/tags/decentralized-identifiers/</link><description>Recent content in Decentralized Identifiers on Formize.com Blog</description><generator>Hugo</generator><language>en</language><atom:link href="https://blog.formize.com/tags/decentralized-identifiers/index.xml" rel="self" type="application/rss+xml"/><item><title>Privacy Preserving Synthetic Data Marketplace with Decentralized Identity</title><link>https://blog.formize.com/privacy-preserving-synthetic-data-marketplace-with-decentral/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://blog.formize.com/privacy-preserving-synthetic-data-marketplace-with-decentral/</guid><description>&lt;h1 id="privacy-preserving-synthetic-data-marketplace-with-decentralized-identity">Privacy Preserving Synthetic Data Marketplace with Decentralized Identity&lt;/h1>
&lt;p>The rapid growth of synthetic data generation has unlocked new possibilities for AI model training, testing, and validation. Yet, the promise of synthetic data is often shadowed by concerns around &lt;strong>privacy, provenance, and licensing compliance&lt;/strong>. Traditional marketplaces rely on centralized identity stores and static contracts, which can become single points of failure and hinder cross‑organizational collaboration.&lt;/p>
&lt;p>In this article we present a &lt;strong>next‑generation synthetic data marketplace&lt;/strong> built on three pillars:&lt;/p></description></item></channel></rss>