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Introduction
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Classroom Contents
Federated Hyperparameter Tuning - Challenges, Baselines, and Connections
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- 1 Introduction
- 2 Machine Learning
- 3 Outline
- 4 Hyperparameter Tuning Global vs Local
- 5 Hyperparameter Tuning Methods
- 6 Baseline Challenges
- 7 Success of Having
- 8 Issues
- 9 Resource Limitations
- 10 Local vs Global Validation
- 11 Baselines vs Bayesian Optimization
- 12 Neural Architecture Search
- 13 Architecture Search
- 14 Weight Sharing
- 15 Constraints
- 16 Federated Learning
- 17 Federated Averaging
- 18 Local Hyperparameters
- 19 Local Hyperparameter Tuning
- 20 Summary
- 21 Solution
- 22 Methods
- 23 Results
- 24 Key takeaways
- 25 Questions
