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As machine learning systems gain significance in practical applications, guaranteeing their reliability across various deployment contexts has become a significant problem. This section examines three essential areas in trustworthy machine learning: federated learning, graph learning, and foundation models (FMs), each offering distinct problems and potential for developing trustworthy machine learning systems.

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Advanced Topics in Trustworthy Machine Learning

  • 章节

  • 发表日期：

    2026年

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  • Bo Han,
  • Tongliang Liu

摘要

As machine learning systems gain significance in practical applications, guaranteeing their reliability across various deployment contexts has become a significant problem. This section examines three essential areas in trustworthy machine learning: federated learning, graph learning, and foundation models (FMs), each offering distinct problems and potential for developing trustworthy machine learning systems.