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Regularization
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Classroom Contents
The Power of Adaptivity in Representation Learning - From Meta-Learning to Federated Learning
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- 1 Introduction
- 2 Finetuning
- 3 Changing the Loss Function
- 4 Representation Learning
- 5 Multitask Linear Regression
- 6 Results
- 7 WT
- 8 Diversity
- 9 Federated Learning
- 10 Federated Learning Performance
- 11 Federated Learning vs Distributed SGD
- 12 Multitasking Linear Regression
- 13 Model Drift
- 14 Distributed Gradient Descent
- 15 The Goal of a Model
- 16 Fine Tuning
- 17 Regularization
