Privacy-preserving machine learning is one class of cryptographic methods that aim to
analyze private and sensitive data while keeping privacy, such as homomorphic logistic …

Privacy-preserving regression in machine learning is a crucial area of research, aimed at
enabling the use of powerful machine learning techniques while protecting individuals' …

Abstract The integration of Graph Neural Network (GNN) into recommendation systems has
demonstrated remarkable performance, but using personal data to make recommendations …