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Oblivious Multiparty Machine Learning on Trusted Processors Olga Ohrimenko, Felix Schuster, Cedric Four net, Martha Meta, Sebastian Noon Kamil Aswan, Manuel Costa Microsoft Research Abstracttical
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Oblivious multi party machine is a cryptographic protocol that allows multiple parties to compute a function without revealing their inputs to each other.
Oblivious multi party machine is typically used in scenarios where privacy and security of input data are crucial.
The participants must follow the specific protocol and mathematical computations to contribute their inputs and receive the final output without revealing their individual data.
The purpose of oblivious multi party machine is to allow multiple parties to collectively compute a function while keeping their inputs private.
The inputs contributed by each participant and the final output of the computation are typically reported on oblivious multi party machine.
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