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CS-E4740 A Mathematical Model for Federated Learning
CS-E4740 Federated Learning - FL Applications
CS-E4740 FL Flavors
CS-E4740 Vertical FL
CS-E4740 FL Algorithms
CS-E4740 Data Poisoning and its Cure in FL
CS-E4740 Exercise 19-Mar-2025
CS-E4740 FL Algorithms
CS-E4740 Asynchronous FL Algorithms
CS-E4740 Privacy Protection in FL
CS-E4740 Local Loss Functions in FL Networks
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Last Updated: October 29, 2026
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Course site: federatedlearningaalto.github.io/ Register for spring 2027 (free, no Aalto enrolment needed): ... Personalized Federated Learning | Clustered Federated Learning Demystified | This video introduces federated learning ( A brief overview of some applications of federated learning. — Course site: federatedlearningaalto.github.io/ Register for ... This lecture discusses some main flavors of federated learning and how they use different design choices and optimization ... Vertical Federated Learning Explained | This lecture applies stochastic gradient descent to GTV minimization. This results in our first federated learning algorithm: ... Recording of the exercise session within the course This lecture starts from formulating federated learning as generalized total variation minimization (GTVMIn) over a This video discusses the notion of local loss functions which are assigned to each node of a