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Classroom Contents
Enabling On-Device Learning at Scale
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- 1 Introduction
- 2 Qualcomm AI research
- 3 Selfsupervised learning
- 4 Proof of concept
- 5 Challenges
- 6 Agenda
- 7 FewShot Learning
- 8 Keyword Spotting
- 9 Personalization
- 10 Continuous learning
- 11 Semantic segmentation
- 12 Solution
- 13 State of progress
- 14 Aggregation
- 15 User verification
- 16 User verification without embeddings
- 17 User verification with embeddings
- 18 Federated learning
- 19 Back propagation
- 20 Back propagation implementation
- 21 Quantized training
- 22 Reducing memory
- 23 Questions
- 24 Conclusion
