1 Introduction  
2 Data Analysis of Published Works  
2.1 Prosperity of Ensemble Learning  
2.2 Gap between Ensemble Deep Learning and Traditional Ensemble Learning  
3 Traditional Ensemble Learning  
3.1 Preliminary  
3.2 Methodology of Traditional Ensemble Learning  
3.3 Well-known Implementations for Methodology of Traditional Ensemble Learning  
3.4 Recent Advances of Traditional Ensemble Learning  
3.5 Unattainability  
4 Usual Ensemble Deep Learning  
4.1 Preliminary  
4.2 Methodology of Usual Ensemble Deep Learning  
4.3 Recent Advances of Usual Ensemble Deep Learning  
4.4 Unattainability  
5 Fast Ensemble Deep Learning  
5.1 Existing Approaches  
5.2 Optional Methodology  
5.3 Finding Local Minima in the Sub-Parameter Space  
5.4 Remaining Issues  
6 Discussion