Distributed Differentially-Private Algorithms for Matrix and Tensor Factorization
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In many signal processing and machine learning applications, datasets containing private information are held at different locations, requiring the development of distributed privacy-preserving algorithms. Tensor and matrix factorizations are key components of... ...