Special Topics in AI
Description
This M.Sc.-level course introduces emerging and interdisciplinary topics in artificial intelligence that are typically not covered in standard AI curricula, including areas such as federated learning and neuroscience-inspired AI. The course combines instructor-led lectures with student presentations, in which students study a recent research paper, review the surrounding literature, and present the topic together with their analysis and implementation experience.
Content
Session 1: Introduction
Session 2: Attention
Session 3: Transformer
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Session 7: Federated Learning
Session 8: Statistical Heterogeneity in FL
Session 9: Communication Efficiency in FL
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