Cs E4740 Regularization

Summary

Recording of the lecture from 24-Feb-2025. This lecture discusses the course logistics and explains some key characteristics of ... Recording of the exercise session within the course This lecture motivates and derives This lecture introduced generalized total variation minimization as a design principle for federated learning systems. Vertical Federated Learning Explained | This lecture applies stochastic gradient descent to GTV minimization. This results in our first federated learning algorithm: ... This video gives an overview of the course Clustered Federated Learning Demystified | This lecture shows how to formulate federated learning applications as (instances of) generalized total variation minimization ... Quick recap of applied ML: model training, validation and Federated Learning Flavours Explained – Global, Horizontal, Vertical, Clustered & Personalized FL Lecture by Assoc. Prof.