Facing the explosive growth of data, the introduction of cloud computing in the Space-Air-
Ground Integrated Internet of Things (SAGIIoT) can solve the problem of limited computing …

Nowadays, more and more resource-constrained individuals and corporations tend to
outsource their data and machine learning tasks to cloud servers, enjoying high-quality data …

Although tremendous revolution has been made in the emerging cloud computing
technologies over digital devices, privacy gradually becomes a big concern in outsourcing …

Outsourced cloud computing can be considered as an effective way to overcome the data
island among users and relieve the pressure of limited resources. However, due to the …

Nowadays, more individuals and corporations tend to use machine learning as a service
(MLaaS) in cloud computing environment. However, when enjoying the pay-as-you-go …

Internet of Things (IoT) enables terminal devices connecting with the Internet and provides
various intelligent applications by analyzing devices data. As a typical IoT technique, edge …

The powerful resource advantage of the cloud provides a suitable computing environment
for data processing. By transferring local computing to the cloud, the efficiency of data …

As an important step in the IoT workflow, IoT data aggregation transmits, filters, analyzes and
synthesizes data collected by IoT devices such as sensors to help people make decisions …

In this paper, we propose a privacy-preserving high order large amount of heterogeneous
data using distributed high order fuzzy k-prototype framework named distributed multiple …

With the advent of big data era, clients who lack computational and storage resources tend
to outsource data mining tasks to cloud service providers in order to improve efficiency and …