The Value of Collaboration in Convex Machine Learning with Differential Privacy

The Value of Collaboration in Convex Machine Learning with Differential Privacy

IEEE Symposium on Security and Privacy via YouTube Direct link

Experiment with loan data

7 of 10

7 of 10

Experiment with loan data

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Classroom Contents

The Value of Collaboration in Convex Machine Learning with Differential Privacy

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

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