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EP3260 MLoNs: Fundamentals of Machine Learning Over Networks

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Dormant Last read 3 days ago · last published 7 years ago · next check scheduled
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Lecture 8 part 1: Deep Neural Networks

Mar 10, 2019 · MLRG KTH

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Lecture 7 part 2: Communication efficiency (general graph)

Mar 3, 2019 · MLRG KTH

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Lecture 7 part 1: Communication efficiency (master-worker architecture)

Mar 2, 2019 · MLRG KTH

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Lecture 6 part 2: ADMM (hyperparameter optimization and applications)

Feb 25, 2019 · MLRG KTH

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Lecture 6 part 1: ADMM (basic definitions and properties)

Feb 24, 2019 · MLRG KTH

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Lecture 5 part 2: Distributed ML (general communication topology)

Feb 17, 2019 · MLRG KTH

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Lecture 5 part 1: Distributed ML (star communication topology)

Feb 17, 2019 · MLRG KTH

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Lecture 4 part 2: Centralized Nonconvex ML (generic solvers)

Feb 9, 2019 · MLRG KTH

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Lecture 4 part 1: Centralized Nonconvex ML (basic definitions and special structures)

Feb 9, 2019 · MLRG KTH

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Lecture 3 part 2: Centralized Convex ML (part 2: stochastic algorithms)

Feb 3, 2019 · MLRG KTH

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