SoSe 21: Seminar: Information theoretical principles of ML
Gerhard Wunder
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Recently, artificial intelligence and machine learning (AI/ML) has emerged as a valuable tool in the field of communication and signal processing. It is therefore natural to extend the investigations ... read more
Recently, artificial intelligence and machine learning (AI/ML) has emerged as a valuable tool in the field of communication and signal processing. It is therefore natural to extend the investigations to the field of physical layer security and privacy. This field is still in its infancy with some very preliminary results on wiretap channel code design, feature extraction of wireless channels and a growing part of contributions to privacy-preserving, distributed AI/ML. This seminar will teach the latest advances and synergies between the broad fields of AI/ML and secure communications.
Keywords: ML overview, basic tools, universal approximation, deep learning, stochastic gradient, acceleration strategies, deep convolutional networks, feature extraction, classification, mutual information neural network estimation, structured sparsity in convolutional neural networks, matrix decompositions
