Federated Multilinear Principal Component Analysis for Privacy-Preserving Dimension Reduction of Tensor Data
The proposed Federated Multilinear Principal Component Analysis (FMPCA) method enables multiple users to collaboratively reduce the dimension of their tensor data while keeping each user's data local and confidential.