Dynamic Searchable Symmetric Encryption (DSSE) is a practical cryptographic primitive that
assists servers to provide search and update functionalities in the ciphertext domain. Recent …

Electronic Health Record (EHR) and its privacy have attracted widespread attention with the
development of the healthcare industry in recent years. As locking medical data in a single …

Quantum Federated Learning (QFL) recently becomes a promising approach with the
potential to revolutionize Machine Learning (ML). It merges the established strengths of …

Federated recommendation applies federated learning techniques in recommendation
systems to help protect user privacy by exchanging models instead of raw user data …

Internet of Things (IoT) is an emerging domain in which different devices communicate with
each other through minimum human intervention. IoT devices are usually operated in hostile …

As a result of the rapid development of Internet of Things (IoT) systems, an increasing
number of academics are focusing on finding new applications for IoT systems. For IoT …

Previous federated recommender systems are based on traditional matrix factorization,
which can improve personalized service but are vulnerable to gradient inference attacks …

Secure keyword search is a prevailing search service offered in outsourced environments.
However, with the increasingly severe security vulnerabilities of conventional centralized …

Medical data sharing is of great significance in promoting smart medicine. However, the
heterogeneity of information systems used by various medical institutions makes sharing …

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