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 that the data itself is stored distributedly due to the considering from the sense of data storing and security. In this case, the data must be processed in a distributed manner. The second one is that the data is very large and it is difficult to be processed using the centralized method.