8 citations · 9 across the 2 of their papers we have counts for
2 papers
cs.CR2025★ 1 cited
FLSSM: A Federated Learning Storage Security Model with Homomorphic Encryption
Yang Li, Chunhe Xia, Chang Li +2
Federated learning based on homomorphic encryption has received widespread attention due to its high security and enhanced protection of user data privacy. However, the characteris…
cs.CR2023★ 8 cited
Poisoning Attacks and Defenses in Federated Learning: A Survey
Subhash Sagar, Chang-Sun Li, Seng W. Loke +1
Federated learning (FL) enables the training of models among distributed clients without compromising the privacy of training datasets, while the invisibility of clients datasets a…