Leveraging Spatial and Temporal Correlations in Distributed Learning - Seminar 91
Federated Learning One World Seminar via YouTube
Overview
Syllabus
Intro
Federated Learning: Bringing Training to the Edge
Federated Optimization: Objectives and Notation
Federated Optimization: The FedAvg Algorithm
Distributed Mean Estimation
Leveraging Spatial Similarity
Rand-k Sparsification
How do we measure spatial correlation?
Family of Spatial Estimators for different p
Talk Outline
Proposed Rand-k-Temporal Estimator
Quadratic Objective Case Study
Distributed Power Iteration
Distributed K-Means
Distributed Logistic Regression
Error of Intermittent Client Participation on the convergence of FedAvg
Conclusion
Taught by
Federated Learning One World Seminar