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Revised texts for terminology part #36

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Dec 28, 2023
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Revised texts for terminology part #36

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Expand Up @@ -380,7 +380,7 @@ <h2 class="introductory" id="table-of-contents">Table of Contents</h2>
</section>

<section id="terminology"><div class="header-wrapper"><h2 id="x2-terminology"><bdi class="secno">2 </bdi>Terminology</h2><a class="self-link" href="#terminology" aria-label="Permalink for Section 1.2"></a></div>
<p>The following requirements have been expressed.</p>
<p>The following terms and definitions are described in connection with the context of federated learning, providing a foundational understanding for the concepts discussed in this document.</p>
<ul>
<li>Central Server: In federated learning, the central server acts as a hub that coordinates the learning process, aggregates model updates, and distributes aggregated updates back to client devices.</li>
<li>Client Devices: These are decentralized devices participating in federated learning. Each client device uses its local data to train models independently and sends updates back to the central server.</li>
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