Data confidentiality is a central concern in modern computer systems and services, as
sensitive data from users and companies are being increasingly delegated to such systems …

Federated learning enables multiple participants to cooperatively train a model, where each
participant computes gradients on its data and a coordinator aggregates gradients from …

Hardware-assisted enclaves with memory encryption have been widely adopted in the
prevailing architectures, eg, Intel SGX/TDX, AMD SEV, ARM CCA, etc. However, existing …

In spatial crowdsourcing, location-based task recommendation schemes are widely used to
match appropriate workers in desired geographic areas with relevant tasks from data …

The traditional centralized power trading model suffers from high maintenance costs, low
processing efficiency and unsynchronized information, and it cannot adapt to the high …

The Sixth Generation (6G) Wireless Communication Network (WCN) is the successive
provision to ameliorate the gain with ultra-low latency, and e xtremely high energy efficiency …

With the development of Internet of Vehicles (IoV), organizations or institutions are
increasingly interested in aggregating vehicle perception data to perform data analysis …

The rapid development of consumer electronics technology has greatly promoted the
progress of the metaverse. However, as a digitized virtual environment, the metaverse …

By separating huge dimensional matrix-matrix multiplication at a single computing node into
parallel small matrix multiplications (with appropriate encoding) at parallel worker nodes …

Privacy-preserving pattern matching enables a user to find all occurrences of a pattern in a
text without revealing any sensitive information. However, many previous works designed on …