Secure linear aggregation is to linearly aggregate private inputs of different users with
privacy protection. The server in a federated learning (FL) environment can fulfill any linear …

Artificial intelligence is increasingly used in ecological contexts to monitor animal and insect
populations. Species of interest are those in danger of extinction, and those that play pivotal …

With the growing prominence of privacy protection issues in big data, artificial intelligence
and blockchain, secure multi-party computation has become a research hotspot …

The recent simultaneous research expansion of machine learning (ML) and mobile
computing has given birth to the concept of Federated Learning (FL). FL downscales ML's …

Cooperative spectrum sensing (CSS) is a process of achieving spatial diversity gain to make
global decision for cognitive radio networks (CRNs). However, the accuracy of the global …

Federated learning ensures the privacy of data generated by large-scale IoT devices.
Existing federated learning frameworks, based on centralized model coordinators, still face …

The security provisions in capricious data in a dynamic environment must be fathomed by
prudence. It is strenuous to manage gigantic data in an ossified environment through one …