poga/awesome-federated-learning

• highlicense#1

  Add a LICENSE file to the repository

  原因：

  复制粘贴的修复

  复制

  Create a `LICENSE` file in the repository root with a suitable open-source license for content, such as CC-BY-4.0.

  待办完成忽略
• highreadme#2

  Enhance README with a clear scope and value proposition

  原因：

  复制粘贴的修复

  复制

  Add a dedicated 'About This List' or 'Scope' section after the initial description, explicitly stating what makes this list valuable (e.g., its focus on specific sub-areas, depth of coverage, or target audience) and what it aims to achieve. For example: 'This curated list aims to be the definitive collection of foundational and cutting-edge research papers, surveys, and key resources in federated learning, with a particular emphasis on privacy-preserving techniques and applications in medical data. Unlike general overviews, we focus on providing direct links to academic works and comprehensive surveys to aid researchers and practitioners.'

  待办完成忽略
• mediumtopics#3

  Add 'awesome-list' and 'curated-list' to repository topics

  原因：

  当前

  deep-learning, federated-learning, medical-data, privacy

  复制粘贴的修复

  复制

  deep-learning, federated-learning, medical-data, privacy, awesome-list, curated-list, resources

  待办完成忽略

本次扫描解析到的品类 GEO 通道：google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• 品类问题

  How can I implement privacy-preserving machine learning across distributed datasets?

  你：未被推荐
  AI 推荐顺序：

  1. OpenMined PySyft (OpenMined/PySyft)
  2. PyGrid (OpenMined/PyGrid)
  3. TensorFlow Federated (tensorflow/federated)
  4. Intel homomorphic encryption Toolkit (Intel/he-toolkit)
  5. nGraph-HE (IntelAI/nGraph-HE)
  6. Microsoft SEAL (microsoft/SEAL)
  7. IBM Federated Learning
  8. MP-SPDZ (data61/MP-SPDZ)
  9. FRESCO (FRESCO-Framework/FRESCO)
  10. Google's Differential Privacy Library (google/differential-privacy)
  11. OpenMined PyDP (OpenMined/PyDP)

  AI 推荐了 11 个替代方案，却始终没点名 poga/awesome-federated-learning。这就是要补上的差距。

  查看 AI 完整回答
• 品类问题

  Where can I find comprehensive resources and surveys on secure distributed deep learning?

  你：未被推荐
  查看 AI 完整回答

• Metadata completeness

  warn

  建议：

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of poga/awesome-federated-learning?

  pass
  ⚠AI 未点名 poga/awesome-federated-learning —— 很可能在说另一个项目

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• If a team adopts poga/awesome-federated-learning in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI 明确点名了 poga/awesome-federated-learning

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• In one sentence, what problem does the repo poga/awesome-federated-learning solve, and who is the primary audience?

  pass
  ⚠AI 未点名 poga/awesome-federated-learning —— 很可能在说另一个项目

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？