Protecting Big Data Privacy Using Randomized Tensor Network Decomposition and Dispersed Tensor Computation

no code implementations • 4 Jan 2021 • Jenn-Bing Ong, Wee-Keong Ng, Ivan Tjuawinata, Chao Li, Jielin Yang, Sai None Myne, Huaxiong Wang, Kwok-Yan Lam, C. -C. Jay Kuo

The distributed tensor representations are dispersed on multiple clouds / fogs or servers / devices with metadata privacy, this provides both distributed trust and management to seamlessly secure big data storage, communication, sharing, and computation.

Dimensionality Reduction Management +1

Convolutional Neural Networks with Transformed Input based on Robust Tensor Network Decomposition

no code implementations • 20 Nov 2018 • Jenn-Bing Ong, Wee-Keong Ng, C. -C. Jay Kuo

Tensor network decomposition, originated from quantum physics to model entangled many-particle quantum systems, turns out to be a promising mathematical technique to efficiently represent and process big data in parsimonious manner.

Privacy Preserving Tensor Networks