Monday, 4 May, 09:30 – 13:00
- Tutorial T-1: Machine Learning and Wireless Communications
- Tutorial T-2: Distributed and Efficient Deep Learning
- Tutorial T-3: Graph Filters with Applications to Distributed Optimization and Neural Networks
- Tutorial T-5: Quantum Signal Processing & Communications – a Glimpse beyond Moore’s Law
- Tutorial T-6: Robust Data Science: Modern Tools for Detection, Clustering and Cluster Enumeration
Monday, 4 May, 14:30 – 18:00
- Tutorial T-7: Signal Processing for MIMO Communications Beyond 5G
- Tutorial T-8: Adversarial Robustness of Deep Learning Models: Attack, Defense and Verification
- Tutorial T-9: Graph Neural Networks
- Tutorial T-10: Biomedical Image Reconstruction—From Foundations to Deep Neural Networks
- Tutorial T-11: Game theoretic learning and applications to spectrum collaboration
- Tutorial T-12: Information Extraction in Joint Millimeter-Wave State Sensing and Communications: Fundamentals to Applications