Leveraging Spatial and Temporal Correlations in Distributed Learning - Seminar 91

Leveraging Spatial and Temporal Correlations in Distributed Learning - Seminar 91

Federated Learning One World Seminar via YouTube Direct link

Family of Spatial Estimators for different p

9 of 17

9 of 17

Family of Spatial Estimators for different p

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Classroom Contents

Leveraging Spatial and Temporal Correlations in Distributed Learning - Seminar 91

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  1. 1 Intro
  2. 2 Federated Learning: Bringing Training to the Edge
  3. 3 Federated Optimization: Objectives and Notation
  4. 4 Federated Optimization: The FedAvg Algorithm
  5. 5 Distributed Mean Estimation
  6. 6 Leveraging Spatial Similarity
  7. 7 Rand-k Sparsification
  8. 8 How do we measure spatial correlation?
  9. 9 Family of Spatial Estimators for different p
  10. 10 Talk Outline
  11. 11 Proposed Rand-k-Temporal Estimator
  12. 12 Quadratic Objective Case Study
  13. 13 Distributed Power Iteration
  14. 14 Distributed K-Means
  15. 15 Distributed Logistic Regression
  16. 16 Error of Intermittent Client Participation on the convergence of FedAvg
  17. 17 Conclusion

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