How is it possible to allow multiple data owners to collaboratively train and use a shared prediction model while keeping all the local training data private? Traditional machine Learning approaches need to combine all data at one location, typically a data center, which may very well violate the laws on user privacy and data confidentiality.
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Today, many parts of the world demand that technology companies treat user data carefully according to user-privacy laws.
How is it possible to allow multiple data owners to collaboratively train and use a shared prediction model while keeping all the local training data private? Traditional machine Learning approaches need to combine all data at one location, typically a data center, which may very well violate the laws on user privacy and data confidentiality
