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    <title>PyPI recent updates for ProFed</title>
    <link>https://pypi.org/project/profed/</link>
    <description>Recent updates to the Python Package Index for ProFed</description>
    <language>en</language>    <item>
      <title>0.7.6</title>
      <link>https://pypi.org/project/profed/0.7.6/</link>
      <description>A benchmark for proximity-based non-IID Federated Learning</description>
<author>davide.domini@unibo.it</author>      <pubDate>Tue, 24 Mar 2026 11:22:20 GMT</pubDate>
    </item>    <item>
      <title>0.7.5</title>
      <link>https://pypi.org/project/profed/0.7.5/</link>
      <description>A benchmark for proximity-based non-IID Federated Learning</description>
<author>davide.domini@unibo.it</author>      <pubDate>Tue, 24 Mar 2026 10:44:12 GMT</pubDate>
    </item>    <item>
      <title>0.7.4</title>
      <link>https://pypi.org/project/profed/0.7.4/</link>
      <description>A benchmark for proximity-based non-IID Federated Learning</description>
<author>davide.domini@unibo.it</author>      <pubDate>Fri, 06 Feb 2026 14:46:45 GMT</pubDate>
    </item>    <item>
      <title>0.7.3</title>
      <link>https://pypi.org/project/profed/0.7.3/</link>
      <description>A benchmark for proximity-based non-IID Federated Learning</description>
<author>davide.domini@unibo.it</author>      <pubDate>Wed, 23 Jul 2025 14:39:37 GMT</pubDate>
    </item>    <item>
      <title>0.7.2</title>
      <link>https://pypi.org/project/profed/0.7.2/</link>
      <description>A benchmark for proximity-based non-IID Federated Learning</description>
<author>davide.domini@unibo.it</author>      <pubDate>Tue, 01 Jul 2025 14:59:57 GMT</pubDate>
    </item>    <item>
      <title>0.7.1</title>
      <link>https://pypi.org/project/profed/0.7.1/</link>
      <description>A benchmark for proximity-based non-IID Federated Learning</description>
<author>davide.domini@unibo.it</author>      <pubDate>Tue, 01 Jul 2025 12:47:58 GMT</pubDate>
    </item>    <item>
      <title>0.7.0</title>
      <link>https://pypi.org/project/profed/0.7.0/</link>
      <description>A benchmark for proximity-based non-IID Federated Learning</description>
<author>davide.domini@unibo.it</author>      <pubDate>Tue, 01 Jul 2025 11:28:50 GMT</pubDate>
    </item>    <item>
      <title>0.6.5</title>
      <link>https://pypi.org/project/profed/0.6.5/</link>
      <description>A benchmark for proximity-based non-IID Federated Learning</description>
<author>davide.domini@unibo.it</author>      <pubDate>Tue, 17 Jun 2025 15:09:01 GMT</pubDate>
    </item>    <item>
      <title>0.6.4</title>
      <link>https://pypi.org/project/profed/0.6.4/</link>
      <description>A benchmark for proximity-based non-IID Federated Learning</description>
<author>davide.domini@unibo.it</author>      <pubDate>Tue, 17 Jun 2025 14:50:29 GMT</pubDate>
    </item>    <item>
      <title>0.6.3</title>
      <link>https://pypi.org/project/profed/0.6.3/</link>
      <description>A benchmark for proximity-based non-IID Federated Learning</description>
<author>davide.domini@unibo.it</author>      <pubDate>Tue, 17 Jun 2025 14:28:51 GMT</pubDate>
    </item>    <item>
      <title>0.6.2</title>
      <link>https://pypi.org/project/profed/0.6.2/</link>
      <description>A benchmark for proximity-based non-IID Federated Learning</description>
<author>davide.domini@unibo.it</author>      <pubDate>Tue, 17 Jun 2025 08:11:56 GMT</pubDate>
    </item>    <item>
      <title>0.6.1</title>
      <link>https://pypi.org/project/profed/0.6.1/</link>
      <description>A benchmark for proximity-based non-IID Federated Learning</description>
<author>davide.domini@unibo.it</author>      <pubDate>Tue, 17 Jun 2025 07:55:03 GMT</pubDate>
    </item>    <item>
      <title>0.6.0</title>
      <link>https://pypi.org/project/profed/0.6.0/</link>
      <description>A benchmark for proximity-based non-IID Federated Learning</description>
<author>davide.domini@unibo.it</author>      <pubDate>Mon, 09 Jun 2025 09:32:37 GMT</pubDate>
    </item>    <item>
      <title>0.5.0</title>
      <link>https://pypi.org/project/profed/0.5.0/</link>
      <description>A benchmark for proximity-based non-IID Federated Learning</description>
<author>davide.domini@unibo.it</author>      <pubDate>Wed, 21 May 2025 14:03:42 GMT</pubDate>
    </item>    <item>
      <title>0.4.2</title>
      <link>https://pypi.org/project/profed/0.4.2/</link>
      <description>A benchmark for proximity-based non-IID Federated Learning</description>
<author>davide.domini@unibo.it</author>      <pubDate>Wed, 21 May 2025 08:45:11 GMT</pubDate>
    </item>    <item>
      <title>0.4.1</title>
      <link>https://pypi.org/project/profed/0.4.1/</link>
      <description>A benchmark for proximity-based non-IID Federated Learning</description>
<author>davide.domini@unibo.it</author>      <pubDate>Mon, 03 Feb 2025 13:58:26 GMT</pubDate>
    </item>    <item>
      <title>0.4.0</title>
      <link>https://pypi.org/project/profed/0.4.0/</link>
      <description>A benchmark for proximity-based non-IID Federated Learning</description>
<author>davide.domini@unibo.it</author>      <pubDate>Mon, 03 Feb 2025 13:53:17 GMT</pubDate>
    </item>    <item>
      <title>0.3.0</title>
      <link>https://pypi.org/project/profed/0.3.0/</link>
      <description>A benchmark for proximity-based non-IID Federated Learning</description>
<author>davide.domini@unibo.it</author>      <pubDate>Mon, 27 Jan 2025 17:19:30 GMT</pubDate>
    </item>    <item>
      <title>0.2.0</title>
      <link>https://pypi.org/project/profed/0.2.0/</link>
      <description>A benchmark for proximity-based non-IID Federated Learning</description>
<author>davide.domini@unibo.it</author>      <pubDate>Mon, 27 Jan 2025 16:52:22 GMT</pubDate>
    </item>  </channel>
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