The aim of boosting is to convert a sequence of weak learners into a strong learner. At their heart, these methods are fully sequential. In this paper, we investigate the possibility of parallelizing boosting. Our main contribution is a strong negative result, implying that significant parallelization of boosting requires an exponential blow-up in the total computing resources needed for training.

翻译：提升法的目标是将一系列弱学习器转化为强学习器。这些方法的核心本质上是完全串行的。本文探讨了并行化提升法的可能性。我们的主要贡献是一个强否定性结果，表明显著并行化提升法会导致训练所需的总计算资源呈指数级增长。