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What is Federated Learning Lecture Notes about?

This document contains lecture notes for a course on federated learning (FL). The course will discuss theory and algorithms for training machine learning models using decentralized datasets without sharing the raw data. Key concepts covered include empirical graphs to represent local datasets and relationships between them, and generalized total variation minimization as an optimization approach for FL. Gradient-based algorithms will be applied to solve the optimization problem in a distributed manner. The

Author

Anastasia S

Language

EN