Improved Differentially Private Decentralized Source Separation for fMRI Data

28 Oct 2019Hafiz ImtiazJafar MohammadiRogers SilvaBradley BakerSergey M. PlisAnand D. SarwateVince Calhoun

Blind source separation algorithms such as independent component analysis (ICA) are widely used in the analysis of neuroimaging data. In order to leverage larger sample sizes, different data holders/sites may wish to collaboratively learn feature representations... (read more)

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