With the fast development of cloud computing, more and more data storage and computation
are moved from the local to the cloud, especially the applications of machine learning and …

Today, more and more data is collected and stored by different organizations. When the data
is distributed among multiple users who wish to perform data mining on the joint data …

Data clustering is the unsupervised classification of data records into groups. As one of the
steps in data analysis, it has been widely researched and applied in practical life, such as …

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 …

How to analyze users' data without compromising individual privacy is an important issue in
cloud computing. In order to protect privacy and enable the cloud to perform computing …

作为数字货币的底层核心技术之一, 区块链随着数字货币的快速发展而受到了广泛关注.
由于区块链具有去中心化, 防篡改, 可追溯等性质, 如今越来越多的企业和个人用户选择利用区块 …

In public key encryption schemes with a double decryption mechanism (DD–PKE),
decryption can be done in either of two ways: by the user owning the secret/public key pair …

We revisit the notion of additively homomorphic encryption with a double decryption
mechanism (DD-PKE), which allows for additions in the encrypted domain while having a …

As the quantity of data produced is rapidly rising in recent years, clients lack of
computational and storage resources tend to outsource data mining tasks to cloud service …

Federated learning is an emerging technique that allows multiple participants to train a
shared model without exchanging their private data. This approach is particularly useful for …