# Difference between Leaking Factor and Forgetting Factor

I am using a Recursive least square adaptive filter to process electromyography signals and it is working decently so far. I decided to implement an LMS adaptive filter as a noise cancellation, so that I can compare the results, however, going through the matlab documentation for the LMS filter and seeing the LeakingFactor $$0<\alpha<1$$ and the ForgettingFactor of the RLS filter$$0<\lambda<1$$ I am now confused if there is an actual difference between those two parameters or is the difference only in the names?

In the LMS, the classic implementation has $\alpha = 1$.