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Execution of Federated Learning (FL)
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Classroom Contents
Oort - Efficient Federated Learning via Guided Participant Selection
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- 1 Intro
- 2 Emerging Trend of Machine Learning
- 3 Emerging Federated Learning on the Edge
- 4 Execution of Federated Learning (FL)
- 5 Challenges in Federated Learning
- 6 Existing Client Selection: Suboptimal Efficiency
- 7 Existing Client Selection: Unable for Selection Criteria
- 8 Oort: Guided Participant Selection for FL
- 9 Anatomy of Time to Accuracy in Training
- 10 Challenge I: Identify Heterogeneous Client Utility
- 11 Challenge 2: Select High-Utility Clients at Scale
- 12 Challenge 3: Select High-Utility Clients Adaptively
- 13 Time-to-Accuracy (TTA) Performance
- 14 Zoom into Statistical Performance
