Exploring CKKS Parameter Trade-offs for Privacy-Preserving Personalized Federated Learning

Kamolchanok Saengtong, Phanwadee Sinthong, Norrathep Rattanavipanon

Privacy-preserving Personalized Federated Learning (PFL) enables clients to collaboratively train personalized models without exposing raw data, but exchanged model updates remain…