Data analytics in massive manufacturing data can extract huge business values while can
also result in research challenges due to the heterogeneous data types, enormous volume …

The wide proliferation of various wireless communication systems and wireless devices has
led to the arrival of big data era in large-scale wireless networks. Big data of large-scale …

大数据管理:概念,技术与挑战 Page 1 大数据管理:概念,技术与挑战 孟小峰慈祥 (**人民大学信息
学院北京100872) Big Data Management: Concepts, Techniques and Challenges Meng …

Context: In recent years, the valuable knowledge that can be retrieved from petabyte scale
datasets–known as Big Data–led to the development of solutions to process information …

The volume, variety, and velocity properties of big data and the valuable information it
contains have motivated the investigation of many new parallel data processing systems in …

With the development of information technologies, we have entered the era of Big Data.
Google's MapReduce programming model and its open-source implementation in Apache …

Federated learning is an emerging machine learning paradigm that enables multiple
devices to train models locally and formulate a global model, without sharing the clients' …

With the advent of the era of big data, the demand of massive data processing applications
is also growing. Currently, MapReduce is the most commonly used data processing …

A promising research area that has recently emerged, is on how to use index coding to
improve the communication efficiency in distributed computing systems, especially for data …

Research into distributed parallelism on “the cloud” has surged lately. As the research
agenda and methodology in this area are being established, we observe a tendency …