Preserving Data Privacy in Federated Learning - Xiaokui Xiao

Preserving Data Privacy in Federated Learning - Xiaokui Xiao

Association for Computing Machinery (ACM) via YouTube Direct link

Privacy Framework

19 of 23

19 of 23

Privacy Framework

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Preserving Data Privacy in Federated Learning - Xiaokui Xiao

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  1. 1 Introduction
  2. 2 What is Federated Learning
  3. 3 How Federated Learning Works
  4. 4 Local Gradient
  5. 5 Experimental Results
  6. 6 Basic Idea
  7. 7 Example
  8. 8 Using MPC
  9. 9 Trusted Hardware
  10. 10 Differential Privacy
  11. 11 Differential Privacy Limitations
  12. 12 Age Distribution of Customers
  13. 13 Model Privacy
  14. 14 Vertical Factory Learning
  15. 15 Mitigation
  16. 16 Hiding the model
  17. 17 Summary
  18. 18 Future Work
  19. 19 Privacy Framework
  20. 20 New Techniques
  21. 21 Other Issues
  22. 22 National University of Singapore
  23. 23 Questions

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