Data Efficiency Through Transfer Learning - Eddie Du

Data Efficiency Through Transfer Learning - Eddie Du

Open Data Science via YouTube Direct link

Proposed Solution: Data Aggregation with Transfer Learning

3 of 17

3 of 17

Proposed Solution: Data Aggregation with Transfer Learning

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Data Efficiency Through Transfer Learning - Eddie Du

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  1. 1 Intro
  2. 2 About Georgian Partners
  3. 3 Proposed Solution: Data Aggregation with Transfer Learning
  4. 4 Instance-based Transfer Learning
  5. 5 Mathematical Justification
  6. 6 Bluecore's Challenge: Binary classification while preserving privacy
  7. 7 Proposed Solution: Aggregate at the Model level
  8. 8 What does it mean to preserve privacy?
  9. 9 First attempt at preserving privacy
  10. 10 Revisiting the Compensation Example
  11. 11 Quantifying Privacy with Differential Privacy
  12. 12 Differential Privacy in Machine Learning
  13. 13 Using Differential Privacy in Practice
  14. 14 Recall the Proposed Solution for Bluecore
  15. 15 Differentially Private Logistic Regression
  16. 16 Effect of Epsilon on Performance
  17. 17 Summary

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