Anomaly detection and defense techniques in federated learning: a comprehensive review
Crossref DOI link: https://doi.org/10.1007/s10462-024-10796-1
Published Online: 2024-05-23
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Zhang, Chang
Yang, Shunkun
Mao, Lingfeng
Ning, Huansheng
Text and Data Mining valid from 2024-05-23
Version of Record valid from 2024-05-23
Article History
Accepted: 6 May 2024
First Online: 23 May 2024
Declarations
:
: The authors declare no Conflict of interest.