Completed
Conclusions and future work
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Classroom Contents
The Value of Collaboration in Convex Machine Learning with Differential Privacy
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- 1 Learning on mutiple datasets
- 2 State-of-the-art
- 3 Training ML models
- 4 Learning on private datasets
- 5 Training with DP gradients for general convex fitness functions Slower decaying learning rate
- 6 Value of collaboration
- 7 Experiment with loan data
- 8 Convergence of learning algorithm
- 9 Prediction vs reality
- 10 Conclusions and future work
