Boosted Model
Multiple weak models to form a strong model.
Combinatory Model
Multiple models of different network designs to form a solution.
Distributed Learning
The training data are split and spread over multiple computers and join together in 1 model.
Federated Learning
It’s kinda combinatory learning but instead of multiple models, it is multiple computers to join the learning process together.
