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EP3260 MLoNs: Fundamentals of Machine Learning Over Networks
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Lecture 8 part 1: Deep Neural Networks
EP3260 MLoNs: Fundamentals of Machine Learning Over Networks ·
Lecture 7 part 2: Communication efficiency (general graph)
EP3260 MLoNs: Fundamentals of Machine Learning Over Networks ·
Lecture 7 part 1: Communication efficiency (master-worker architecture)
EP3260 MLoNs: Fundamentals of Machine Learning Over Networks ·
Lecture 6 part 2: ADMM (hyperparameter optimization and applications)
EP3260 MLoNs: Fundamentals of Machine Learning Over Networks ·
Lecture 6 part 1: ADMM (basic definitions and properties)
EP3260 MLoNs: Fundamentals of Machine Learning Over Networks ·
Lecture 5 part 2: Distributed ML (general communication topology)
EP3260 MLoNs: Fundamentals of Machine Learning Over Networks ·
Lecture 5 part 1: Distributed ML (star communication topology)
EP3260 MLoNs: Fundamentals of Machine Learning Over Networks ·
Lecture 4 part 2: Centralized Nonconvex ML (generic solvers)
EP3260 MLoNs: Fundamentals of Machine Learning Over Networks ·
Lecture 4 part 1: Centralized Nonconvex ML (basic definitions and special structures)
EP3260 MLoNs: Fundamentals of Machine Learning Over Networks ·
Lecture 3 part 2: Centralized Convex ML (part 2: stochastic algorithms)
EP3260 MLoNs: Fundamentals of Machine Learning Over Networks ·
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