How does Random Forest behave in distributed computing environments?

Random Forest is naturally parallelizable across trees, making it suitable for distributed systems.

Each tree is independent, allowing horizontal scaling across nodes. Distributed implementations aggregate tree outputs via map-reduce-like architectures. However, data shuffling and synchronization overhead can become bottlenecks at extreme scale.