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Distributed K-Means
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Classroom Contents
Leveraging Spatial and Temporal Correlations in Distributed Learning - Seminar 91
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- 1 Intro
- 2 Federated Learning: Bringing Training to the Edge
- 3 Federated Optimization: Objectives and Notation
- 4 Federated Optimization: The FedAvg Algorithm
- 5 Distributed Mean Estimation
- 6 Leveraging Spatial Similarity
- 7 Rand-k Sparsification
- 8 How do we measure spatial correlation?
- 9 Family of Spatial Estimators for different p
- 10 Talk Outline
- 11 Proposed Rand-k-Temporal Estimator
- 12 Quadratic Objective Case Study
- 13 Distributed Power Iteration
- 14 Distributed K-Means
- 15 Distributed Logistic Regression
- 16 Error of Intermittent Client Participation on the convergence of FedAvg
- 17 Conclusion
