About The Author

Prof. Qingshan Liu received the B.S. degree in mathematics from Anhui Normal University, Wuhu, China, in 2001, the M.S. degree in applied mathematics from Southeast University, Nanjing, China, in 2005, and the Ph.D. degree in automation and computer-aided engineering, the Chinese University of Hong Kong, Hong Kong, in 2008. He is currently a Professor with the School of Mathematics, Southeast University, Nanjing, China. His current research interests include optimization theory and applications, artificial neural networks, computational intelligence, and multi-agent systems.

Collective Neurodynamic Optimization Technology For Distributed Big Data Processing

With the development of artificial intelligence, especially in big data, machine learning and related areas, the size and complexity of modern datasets are increasing explosively. To solve these problems with a large-scale dataset, the distributed/decentralized computing frame has been proposed and well established. There are mainly two considerations for the distributed computing: The first one is