Abstract Matrix operation is one of the most basic and practical operations in statistical analysis and machine learning. The secure matrix operation over homomorphic encryption technology can protect the confidentiality of input data. However, it has not come up with an optimal solution for modern machine learning frameworks, partially due to a lack of efficient matrix computation mechanisms. In this paper, a universal secure matrix multiplication scheme MAT-FHE for any dimension matrix over fully homomorphic encryption technology is designed to realize non-square matrix multiplication, such as $$A_{m\times l}\times B_{l\times n}$$ A m × l × B l × n . The matrix is
📖 افتح في inklap 🔗 DOI 📮 اطلب بحثاً