@article{4b20247a565d4e21b2ef3ea97eaf51cc,
title = "Privacy-Enhanced Federated Learning: A Restrictively Self-Sampled and Data-Perturbed Local Differential Privacy Method",
keywords = "client self-sampling, data perturbation, federated learning, local differential privacy",
author = "Jianzhe Zhao and Mengbo Yang and Ronglin Zhang and Wuganjing Song and Jiali Zheng and Jingran Feng and Stan Matwin",
note = "Publisher Copyright: {\textcopyright} 2022 by the authors.",
year = "2022",
month = dec,
doi = "10.3390/electronics11234007",
language = "English",
volume = "11",
journal = "Electronics (Switzerland)",
issn = "2079-9292",
publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",
number = "23",
}