Hiccups on the road to privacy-preserving linear programming

Alice Bednarz, Nigel Geoffrey Bean, Matthew Roughan · 2009

Linear programming is one of maths' greatest contributions to industry. There are many places where linear programming could be beneficially applied across more than one company, but there is a roadblock. Companies have secrets. The data needed for joint optimization may need to be kept private either through concerns about leaking competitively sensitive data, or due to privacy legislation.

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