AI-empowered Radio Signal Processing

With the great capability of learning high-level representational features of unstructured data automatically, deep learning is acknowledged as a powerful machine learning algorithm for radio signal processing in future networks and communications (6G and beyond). For example, convolutional neural networks (CNNs) are leveraged to develop automatic modulation classification frameworks in [1]-[3]. CNN and its combination … Read more

Collective Intelligence and Network AI

Federated learningĀ is a paradigm breakthrough shift in AI for data privacy preservation. Unlike conventional AI techniques, federated learning does not require the users to share the data, but only the AI model parameters. As such, federated learning has found notable successes in numerous applications (e.g., Google keyboard, localization, security, and data sharing) and various disciplines … Read more