Please log in to take part in the discussion (add own reviews or comments).
Cite this publication
More citation styles
- please select -
%0 Journal Article
%1 journals/iotm/JinHML22
%A Jin, Rui
%A Hu, Jia
%A Min, Geyong
%A Lin, Hui
%D 2022
%J IEEE Internet Things Mag.
%K dblp
%N 1
%P 114-118
%T Byzantine-Robust and Efficient Federated Learning for the Internet of Things.
%U http://dblp.uni-trier.de/db/journals/iotm/iotm5.html#JinHML22
%V 5
@article{journals/iotm/JinHML22,
added-at = {2022-10-02T00:00:00.000+0200},
author = {Jin, Rui and Hu, Jia and Min, Geyong and Lin, Hui},
biburl = {https://www.bibsonomy.org/bibtex/22c895f285812d6be499d7536c374e7ef/dblp},
ee = {https://doi.org/10.1109/IOTM.001.2100192},
interhash = {66b1601f9a1dca6ec79ecfa377195712},
intrahash = {2c895f285812d6be499d7536c374e7ef},
journal = {IEEE Internet Things Mag.},
keywords = {dblp},
number = 1,
pages = {114-118},
timestamp = {2024-04-09T04:03:35.000+0200},
title = {Byzantine-Robust and Efficient Federated Learning for the Internet of Things.},
url = {http://dblp.uni-trier.de/db/journals/iotm/iotm5.html#JinHML22},
volume = 5,
year = 2022
}