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CS E4740 Federated Learning - Course Overview
CS-E4740 Vertical FL
CS-E4740 A Mathematical Model for Federated Learning
CS-E4740 Asynchronous FL Algorithms
CS-E4740 Data Poisoning and its Cure in FL
CS-E4740 FL Algorithms
Federated Learning — free course, spring 2027 (CS-E4740)
CS-E4740 Federated Learning - FL Applications
CS-E4740 Local Loss Functions in FL Networks
CS-E4740 FL Flavors
CS-E4740 Project Report Structure
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Last Updated: October 23, 2026
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Summary
Course site: federatedlearningaalto.github.io/ Register for spring 2027 (free, no Aalto enrolment needed): ... This video discusses the nodes of a FL network which represent physical devices within a FL system Personalized Federated Learning | Excerpt from Lecture 5 "Federated Learning" of our master-level course This video gives an overview of the course Vertical Federated Learning Explained | This video introduces federated learning (FL) networks as a mathematical model for "real-world" FL systems and applications. This lecture starts from formulating federated learning as generalized total variation minimization (GTVMIn) over a FL network ... A thousand phones each measure the temperature where they are. How do they learn together, without any of them sending a ... 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 ... This video presents instructions on the report for the student project within the course