A split-federated learning and edge-cloud based efficient and privacy-preserving large-scale item recommendation model
Crossref DOI link: https://doi.org/10.1186/s13677-023-00435-5
Published Online: 2023-04-14
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Qin, Jiangcheng
Zhang, Xueyuan
Liu, Baisong
Qian, Jiangbo
Text and Data Mining valid from 2023-04-14
Version of Record valid from 2023-04-14
Article History
Received: 16 November 2022
Accepted: 4 April 2023
First Online: 14 April 2023
Declarations
:
: The authors declare no competing interests.