Xiaojie Feng, Haizhou Du. FLZip: An Efficient and Privacy-Preserving Framework for Cross-Silo Federated Learning. In 2021 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, Physical & Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics), Melbourne, Australia, December 6-8, 2021. pages 209-216, IEEE, 2021. [doi]
@inproceedings{FengD21-2,
title = {FLZip: An Efficient and Privacy-Preserving Framework for Cross-Silo Federated Learning},
author = {Xiaojie Feng and Haizhou Du},
year = {2021},
doi = {10.1109/iThings-GreenCom-CPSCom-SmartData-Cybermatics53846.2021.00044},
url = {https://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData-Cybermatics53846.2021.00044},
researchr = {https://researchr.org/publication/FengD21-2},
cites = {0},
citedby = {0},
pages = {209-216},
booktitle = {2021 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, Physical & Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics), Melbourne, Australia, December 6-8, 2021},
publisher = {IEEE},
isbn = {978-1-6654-1762-4},
}