At a high level, boosting is the process of adding many weak learners to form a strong learner. My professor had mentioned that in the case of boosting using regression trees, trees with a depth of less than 4 or 5 should be appropriate - some sources even say that stubs are sufficiently good weak learners.
Why doesn't boosting make use of multiple strong learners instead; for eg. boosted regression trees using full depth trees?
