Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Tensor decomposition is positioned to be a pervasive tool in the era of big data. ,  resolve many of the key algorithmic questions regarding robustness, memory efficiency, and differential privacy of tensor decomposition.  propose simple variants of the tensor por method which enjoy these strong properties.  propose the first streaming method with a linear memory requirement. Moreover,  present a noise calibrated tensor por method with efficient privacy guarantees. At the heart of all these guarantees lies a careful perturbation analysis derived in this paper which improves up on the existing results significantly.
['Yining Wang', 'Animashree Anandkumar']
I am writing a research paper on a idea Online and Differentially-Private Tensor Decomposition
[{"from": "human", "value": "I am writing a research paper on a idea Online and Differentially-Private Tensor Decomposition"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Tensor decomposition is positioned to be a pervasive tool in the era of big data. ,  resolve many of the key algorithmic questions regarding robustness, memory efficiency, and differential privacy of tensor decomposition.  propose simple variants of the tensor por method which enjoy these strong properties.  propose the first streaming method with a linear memory requirement. Moreover,  present a noise calibrated tensor por method with efficient privacy guarantees. At the heart of all these guarantees lies a careful perturbation analysis derived in this paper which improves up on the existing results significantly."}]