<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Federated Learning on</title><link>https://dasarpai.github.io/tags/federated-learning/</link><description>Recent content in Federated Learning on</description><generator>Hugo -- gohugo.io</generator><language>en</language><managingEditor>hari@dasarpai.com (Dr. Hari Thapliyaal)</managingEditor><webMaster>hari@dasarpai.com (Dr. Hari Thapliyaal)</webMaster><copyright>© 2026 Dr. Hari Thapliyaal</copyright><lastBuildDate>Thu, 07 Aug 2025 00:00:00 +0000</lastBuildDate><atom:link href="https://dasarpai.github.io/tags/federated-learning/index.xml" rel="self" type="application/rss+xml"/><item><title>Safeguarding PII When Using LLMs in Alternative Investment Banking</title><link>https://dasarpai.github.io/dsblog/safeguarding-pii-when-using-llms-alternative-investment-banking/</link><pubDate>Thu, 07 Aug 2025 00:00:00 +0000</pubDate><author>hari@dasarpai.com (Dr. Hari Thapliyaal)</author><guid>https://dasarpai.github.io/dsblog/safeguarding-pii-when-using-llms-alternative-investment-banking/</guid><description>&lt;p>
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&lt;h1 class="relative group">&lt;strong>Safeguarding PII When Using LLMs in Alternative Investment Banking&lt;/strong>
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&lt;h2 class="relative group">1. Introduction
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&lt;p>The financial services industry—particularly &lt;strong>Alternative Investment Banking&lt;/strong> is undergoing a rapid transformation driven by &lt;strong>Generative AI&lt;/strong> and &lt;strong>Large Language Models (LLMs)&lt;/strong>. From parsing complex fund agreements to summarizing investor reports, LLMs promise significant efficiency gains.&lt;/p></description></item></channel></rss>