Special Topics in Signal Processing 〈Machine Learning with Applications to Communication Systems〉

This course introduces core concepts of machine learning with hands-on programming and practical applications in communication systems. The first half covers Python-based implementation and deep learning models, applied to tasks such as radio signal classification and channel estimation. The second half focuses on Federated Learning, a key emerging area in wireless communications, covering its challenges, algorithms, and applications.