<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Younghyun Kim | SCU CoAI Lab</title><link>https://coai.scu.edu/author/younghyun-kim/</link><atom:link href="https://coai.scu.edu/author/younghyun-kim/index.xml" rel="self" type="application/rss+xml"/><description>Younghyun Kim</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Wed, 04 Sep 2024 00:00:00 +0000</lastBuildDate><image><url>https://coai.scu.edu/media/icon_hu11734318148517933569.png</url><title>Younghyun Kim</title><link>https://coai.scu.edu/author/younghyun-kim/</link></image><item><title>Platform Design for Privacy-Preserving Federated Learning using Homomorphic Encryption : Wild-and-Crazy-Idea Paper</title><link>https://coai.scu.edu/publication/conference_papers/fdl_2024/</link><pubDate>Wed, 04 Sep 2024 00:00:00 +0000</pubDate><guid>https://coai.scu.edu/publication/conference_papers/fdl_2024/</guid><description>&lt;h2 id="recognition">Recognition&lt;/h2>
&lt;p>This paper received the &lt;strong>Best Paper Award&lt;/strong> at the &lt;strong>27th Forum on Specification &amp;amp; Design Languages (FDL 2024)&lt;/strong>. :contentReference[oaicite:0]{index=0}&lt;/p>
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