These days, endless streams of data are generated by various sources such as sensors,
applications, users, etc. Due to possible issues in sources, such as malfunctions in sensors …

The publication and dissemination of raw data are crucial elements in commercial,
academic, and medical applications. With an increasing number of open platforms, such as …

A huge amount of data is being produced in the food industry, but the application of big data—
regulatory, food enterprise, and food-related media data—is still in its infancy. Each data …

Collecting training data from untrusted sources exposes machine learning services to
poisoning adversaries, who maliciously manipulate training data to degrade the model …

摘要近年来, 联邦学习作为解决数据孤岛问题的技术被广泛关注, 已经开始被应用于金融,
医疗健康以及智慧城市等领域. 从3 个层面系统阐述联邦学习算法. 首先通过联邦学习的定义 …

This article takes the big data era as a starting point to examine common assumptions about
confidentiality and privacy, arguing that confidentiality is a westernized notion that is …

Despite the claimed worth and huge interest regarding the increasing volumes of complex
data sets and the rewarding promise to improve research, there is, however, a growing …

Монография посвящена проблеме обеспечения киберустойчивости цифровой
индустрии в современных условиях. Авторами введены основные понятия …

Decision-making in marketing has changed dramatically in the past decade. Companies
increasingly use algorithms to generate predictions for marketing decisions, such as which …

Privacy preservation is one of the greatest concerns in big data. As one of extensive
applications in big data, privacy preserving data publication (PPDP) has been an important …