IEEE

EVMKA: Efficient and Verifiable Multi-Key Aggregation for Privacy-Preserving Federated Learning in Internet of Things

Abstract: Federated learning (FL), a distributed machine learning paradigm, has emerged as a promising framework for enhancing IoT security by preserving data privacy and alleviating bandwidth ...
IEEE

A Verifiable Federated Learning Scheme With Privacy-Preserving in MCS

Abstract: The popularity of edge smart devices and the explosive growth of generated data have driven the development of mobile crowd sensing (MCS). Also, federated learning (FL), as a new paradigm of ...