1 - The main idea of using ensemble of neural networks is trivial and very common in machine learning literature. The paper doesn't provide any specific adaptation to the homomorphic encryption domain. 2 - The discussion on the homomorphic encryption schemes is completely missing. What type of HE do you use? 3 - How do you preform majority voting in the encrypted domain? Most of HE schemes do not support argmax operation. 4 - For sequential ensembling, it is important to study the effect of noise accumulation in the context of homomorphic encryption. This limitations prevents the use of even single deep neural networks on homomorphically encrypted data.
4 - For sequential ensembling, it is important to study the effect of noise accumulation in the context of homomorphic encryption. This limitations prevents the use of even single deep neural networks on homomorphically encrypted data.