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Paper Digest

Table of Contents:

  • AI for next generation computing: Emerging trends and future directions
  • When machine learning meets privacy: A survey and outlook
  • A survey of privacy attacks in machine learning
  • Survey on federated learning threats: Concepts, taxonomy on attacks and defences, experimental study and challenges
  • WIP - Privacy-preserving machine learning: Methods, challenges and directions
  • On hyperparameter optimization of machine learning algorithms: Theory and practice
  • Terminology

📚 A curated of key terms

  • Terminology

🚀 PPML

  • Open Source Repositories for PPML
    • OpenMined/TenSEAL
    • OpenMined/TenSEAL (Save/Load Key & Encrypted Data @ BFV)
  • WIP - Privacy-preserving machine learning: Methods, challenges and directions
  • .rst

Paper Digest

Paper Digest#

Note

Hey guys, this is my personal reading note. I am not sure there might be some mistakes in my understanding. Please feel free to correct me (hsiangjenli@gmail.com) if you find any. Thanks!

Table of Contents:

  • AI for next generation computing: Emerging trends and future directions
  • When machine learning meets privacy: A survey and outlook
  • A survey of privacy attacks in machine learning
  • Survey on federated learning threats: Concepts, taxonomy on attacks and defences, experimental study and challenges
  • WIP - Privacy-preserving machine learning: Methods, challenges and directions
  • On hyperparameter optimization of machine learning algorithms: Theory and practice
  • Terminology

📚 A curated of key terms

  • Terminology

🚀 PPML

  • Open Source Repositories for PPML
  • WIP - Privacy-preserving machine learning: Methods, challenges and directions

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AI for next generation computing: Emerging trends and future directions

By Hsiang-Jen Li

© Copyright 2024, Hsiang-Jen Li.