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Secure Multi-Function Computation with Private Remote Sources
[article]
2022
arXiv
pre-print
We consider a distributed function computation problem in which parties observing noisy versions of a remote source facilitate the computation of a function of their observations at a fusion center through public communication. The distributed function computation is subject to constraints, including not only reliability and storage but also privacy and secrecy. Specifically, 1) the remote source should remain private from an eavesdropper and the fusion center, measured in terms of the
arXiv:2106.09485v4
fatcat:sc6ikbyp25dhnotofmfmrh4jmm