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