Federated analytics (FA) is a privacy-preserving framework for computing data analytics
over multiple remote parties (eg, mobile devices) or silo-ed institutional entities (eg …

The eruption of a pandemic, such as COVID-19, can cause an unprecedented global crisis.
Contact tracing, as a pillar of communicable disease control in public health for decades …

Data isolation has become an obstacle to scale up query processing over big data, since
sharing raw data among data owners is often prohibitive due to security concerns. A …

Skyline is a primitive operation in multi-objective decision applications and there is a
growing demand to support such operations over a data federation, where the entire dataset …

Big data has played an important role in the development of the economy. However, the
“data isolation” problem largely hinders its full potential. To solve this problem, it is crucial to …

Answering database queries while preserving privacy is an important problem that has
attracted considerable research attention in recent years. A canonical approach to this …

Many individuals and companies choose the public cloud as their data and IT infrastructure
platform. But remote accesses over the data inevitably bring the issue of trust. Despite strong …

IoT devices provide users with great convenience in smart homes. However, the
interdependent behaviors across devices may yield unexpected interactions. To analyze the …

The increasing concerns on data security limit the sharing of data distributedly stored at
multiple data owners and impede the scale of spatial queries over big urban data. In …

Data marketplaces are online platforms that provide a way for individuals to monetize their
(personal) data. In traditional data marketplaces, the data is uploaded to the marketplace …