Privacy-Preserving Algorithms for Decentralised Collaborative Learning - Dr Aurélien Bellet

Privacy-Preserving Algorithms for Decentralised Collaborative Learning - Dr Aurélien Bellet

Alan Turing Institute via YouTube Direct link

LEARNING FROM CONNECTED DEVICES DATA

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1 of 14

LEARNING FROM CONNECTED DEVICES DATA

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Privacy-Preserving Algorithms for Decentralised Collaborative Learning - Dr Aurélien Bellet

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  1. 1 LEARNING FROM CONNECTED DEVICES DATA
  2. 2 EXTREME APPROACH 1: CENTRALIZED LEARNING
  3. 3 OUR APPROACH: FULLY DECENTRALIZED LEARNING
  4. 4 KEY PRINCIPLES GOSSIP ALGORITHM
  5. 5 THIS WORK: PERSONALIZED LEARNING
  6. 6 PROBLEM SETTING
  7. 7 MODEL PROPAGATION: PROBLEM FORMULATION
  8. 8 ASYNCHRONOUS GOSSIP ALGORITHM
  9. 9 CONVERGENCE RESULT
  10. 10 ALGORITHM IN THE BROADCAST SETTING
  11. 11 CONVERGENCE IN BROADCAST SETTING
  12. 12 COLLABORATIVE LEARNING PROBLEM FORMULATION
  13. 13 DIFFERENTIAL PRIVACY
  14. 14 PRIVACY GUARANTEE

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