Learning with errors
In cryptography, learning with errors (LWE) is a mathematical problem that is widely used to create secure encryption algorithms.[1] It is based on the idea of representing secret information as a set of equations with errors. In other words, LWE is a way to hide the value of a secret by introducing noise to it.[2] In more technical terms, it refers to the computational problem of inferring a linear
n
{\displaystyle n}
-ary function
f
{\displaystyle f}
over a finite ring from given samples
y
i
=
f
(
x
i
)
{\displaystyle y_{i}=f(\mathbf {x} _{i})}
some of which may be erroneous. The LWE problem is conjectured to be hard to solve,[1] and thus to be useful in cryptography.
https://en.wikipedia.org/wiki/Learning_with_errors