IEEE

TFSCL: A Novel Time-Frequency Similarity Contrastive Learning Method With Hybrid Augmentation for Robust and Accurate Specific Emitter Identification

Abstract: As the Internet of Things (IoT) and Sixth Generation (6G) technologies advance rapidly, the cryptographic identification of electronic devices has become a critical issue in information ...
IEEE

A Federated Learning-Based Data Augmentation Method for Privacy Preservation Under Heterogeneous Data

Abstract: Federated learning is an important distributed machine learning paradigm. This study proposes a privacy-preserving data augmentation model for federated learning of heterogeneous data, which ...