%0 Journal Article %1 journals/iotj/ShanYZZHW24 %A Shan, Yao %A Yao, Yu %A Zhou, Xiaoming %A Zhao, Tong %A Hu, Bo %A Wang, Lei %D 2024 %J IEEE Internet Things J. %K dblp %N 6 %P 10007-10019 %T CFL-IDS: An Effective Clustered Federated Learning Framework for Industrial Internet of Things Intrusion Detection. %U http://dblp.uni-trier.de/db/journals/iotj/iotj11.html#ShanYZZHW24 %V 11

@article{journals/iotj/ShanYZZHW24, added-at = {2024-04-01T00:00:00.000+0200}, author = {Shan, Yao and Yao, Yu and Zhou, Xiaoming and Zhao, Tong and Hu, Bo and Wang, Lei}, biburl = {https://www.bibsonomy.org/bibtex/2fb0f79d9ee112ddf4d7602a22303034f/dblp}, ee = {https://doi.org/10.1109/JIOT.2023.3324302}, interhash = {350356fa5959de91d12d924f9b0499b9}, intrahash = {fb0f79d9ee112ddf4d7602a22303034f}, journal = {IEEE Internet Things J.}, keywords = {dblp}, month = {March}, number = 6, pages = {10007-10019}, timestamp = {2024-04-08T14:23:55.000+0200}, title = {CFL-IDS: An Effective Clustered Federated Learning Framework for Industrial Internet of Things Intrusion Detection.}, url = {http://dblp.uni-trier.de/db/journals/iotj/iotj11.html#ShanYZZHW24}, volume = 11, year = 2024 }