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    <title>PyPI recent updates for secret-learn</title>
    <link>https://pypi.org/project/secret-learn/</link>
    <description>Recent updates to the Python Package Index for secret-learn</description>
    <language>en</language>    <item>
      <title>0.3.2</title>
      <link>https://pypi.org/project/secret-learn/0.3.2/</link>
      <description>Privacy-preserving machine learning with SecretFlow - 573 implementations (191 algorithms × 3 modes: federated_learning/secret_sharing/split_learning) with JAX acceleration</description>
<author>joy6677@outlook.com</author>      <pubDate>Fri, 23 Jan 2026 14:11:18 GMT</pubDate>
    </item>    <item>
      <title>0.3.1</title>
      <link>https://pypi.org/project/secret-learn/0.3.1/</link>
      <description>Privacy-preserving machine learning with SecretFlow - 573 implementations (191 algorithms × 3 modes: federated_learning/secret_sharing/split_learning) with JAX acceleration</description>
<author>joy6677@outlook.com</author>      <pubDate>Fri, 23 Jan 2026 13:52:45 GMT</pubDate>
    </item>    <item>
      <title>0.3.0</title>
      <link>https://pypi.org/project/secret-learn/0.3.0/</link>
      <description>Privacy-preserving machine learning with SecretFlow - 573 implementations (191 algorithms × 3 modes: federated_learning/secret_sharing/split_learning) with JAX acceleration</description>
<author>joy6677@outlook.com</author>      <pubDate>Sat, 10 Jan 2026 08:00:43 GMT</pubDate>
    </item>    <item>
      <title>0.2.5</title>
      <link>https://pypi.org/project/secret-learn/0.2.5/</link>
      <description>Privacy-preserving machine learning with SecretFlow - 573 implementations (191 algorithms × 3 modes: FL/SS/SL) with JAX acceleration</description>
<author>joy6677@outlook.com</author>      <pubDate>Sun, 07 Dec 2025 10:40:18 GMT</pubDate>
    </item>    <item>
      <title>0.2.4</title>
      <link>https://pypi.org/project/secret-learn/0.2.4/</link>
      <description>Privacy-preserving machine learning with SecretFlow - 573 implementations (191 algorithms × 3 modes: FL/SS/SL) with JAX acceleration</description>
<author>joy6677@outlook.com</author>      <pubDate>Sat, 29 Nov 2025 10:03:58 GMT</pubDate>
    </item>    <item>
      <title>0.2.3</title>
      <link>https://pypi.org/project/secret-learn/0.2.3/</link>
      <description>Privacy-preserving machine learning with SecretFlow - 573 implementations (191 algorithms × 3 modes: FL/SS/SL) with JAX acceleration</description>
<author>joy6677@outlook.com</author>      <pubDate>Sat, 29 Nov 2025 05:18:14 GMT</pubDate>
    </item>    <item>
      <title>0.2.2</title>
      <link>https://pypi.org/project/secret-learn/0.2.2/</link>
      <description>Privacy-preserving machine learning with SecretFlow - 573 implementations (191 algorithms × 3 modes: FL/SS/SL) with JAX acceleration</description>
<author>joy6677@outlook.com</author>      <pubDate>Sat, 29 Nov 2025 05:04:51 GMT</pubDate>
    </item>    <item>
      <title>0.2.1</title>
      <link>https://pypi.org/project/secret-learn/0.2.1/</link>
      <description>Privacy-preserving machine learning with SecretFlow - 573 implementations (191 algorithms × 3 modes: FL/SS/SL) with JAX acceleration</description>
<author>joy6677@outlook.com</author>      <pubDate>Sat, 29 Nov 2025 04:57:55 GMT</pubDate>
    </item>    <item>
      <title>0.2.0</title>
      <link>https://pypi.org/project/secret-learn/0.2.0/</link>
      <description>Privacy-preserving machine learning with SecretFlow - 573 implementations (191 algorithms × 3 modes: FL/SS/SL) with JAX acceleration</description>
<author>joy6677@outlook.com</author>      <pubDate>Fri, 28 Nov 2025 10:04:45 GMT</pubDate>
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