Enabling On-Device Learning at Scale

Enabling On-Device Learning at Scale

tinyML via YouTube Direct link

Questions

23 of 24

23 of 24

Questions

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Enabling On-Device Learning at Scale

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

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