The Second IEEE International Workshop on Harnessing the Data Revolution in Networking (HDR-Nets 2020)

Artificial Intelligence (AI) and Machine Learning (ML) technologies have achieved remarkable success nowadays in many application domains, e.g., natural language processing, biometrics, and computer vision. Advances in the high-performance computing and progress in ML methods—particularly using deep learning—have made ML/AI capable of discovering valuable knowledge from enormous amounts of operational and systems data. Moreover, networking has recently undergone a huge transformation enabled by new models resulting from softwarization, virtualization, and cloud computing. The emergence of enhanced design coupled with the increased complexity in networking systems and protocols has fueled the need for improved network autonomy in agile infrastructures, which can be combined with AI/ML techniques to execute efficient, self-adaptive, rapid, and collaborating network systems. HDR-Nets 2020 workshop is targeting research at the intersection of machine learning and networking by bringing together experts from several research communities spanning communications and networking, machine learning, mobile computing, and big data. The agenda will include discussions of significant contributions, community interests, new tools and research problems related to the design of intelligent, robust, and adaptive communications and networks with the aid of machine learning, as well as identifying best networking practices and design principles for learning systems.