Data minimization is often perceived as a constraint on innovation. In reality, it is the ultimate enabler of resilience. It ...
AUSTIN, TX -- A good metaphor for the intersection of privacy and intelligence collection may not be a see-saw; that implies that a perfect balance can be struck between the two values. I picture a ...
In this paper, we focus on solving convex minimization problem in the form of a summation of two convex functions in which one of them is Frecét differentiable. In order to solve this problem, we ...
Corporate information governance best practices—and not government regulations—are the main factors pushing companies toward data minimization policies, according to a new survey. A mountain of ...
Determinantal point processes offer a robust probabilistic framework for generating and analysing well‐distributed point configurations. Their intrinsic repulsive behaviour, governed by kernel ...
Kohlberg, Elon. "The Nucleolus as a Solution to a Minimization Problem." SIAM Journal on Applied Mathematics 23, no. 1 (July 1972): 34 – 39.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results