Learning with errors

Learning with errors (LWE) is the computational problem of inferring a linear -ary function over a finite ring from given samples some of which may be erroneous.The LWE problem is conjectured to be hard to solve, and thus be useful in cryptography.

Learning with errors

Learning with errors (LWE) is the computational problem of inferring a linear -ary function over a finite ring from given samples some of which may be erroneous.The LWE problem is conjectured to be hard to solve, and thus be useful in cryptography.