Cs E4740 From Linear To

Recording of a lecture that discusses how to generalize the analysis of FL methods for

This video provides a sketch for how to answer Question 2 of Quiz 1 in the course

This video discusses the position of the course

Personalized Federated Learning |

course site: FederatedLearningAalto.github.io.

This video discusses the prerequisites for the course

Vertical Federated Learning Explained |

This lecture discusses techniques to learn an empirical graph for networked data. Edges in the empirical graph reflect similarities ...

We review basic ML methods including model training and validation. Read more in Section 2 of ...

Horizontal Federated Learning Explained |

CS-E4740 Federated Learning - Learning Goals

This lecture introduces empirical graphs as a useful model for collections of local datasets and their pair-wise similarities.

This lecture gives a glimpse on gradient methods that allow to tune or learn model parameters in ML methods. Gradient methods ...