Horizontal Federated Learning and Secure Distributed Training for Recommendation System with Intel SGX

no code implementations • 11 Jul 2022 • Siyuan Hui, Yuqiu Zhang, Albert Hu, Edmund Song

Especially for deep learning-based recommendation systems, due to the complexity of the model and the characteristics of deep learning itself, its training process not only requires long training time and abundant computational resources but also needs to use a large amount of user data, which poses a considerable challenge in terms of data security and privacy protection.

Federated Learning Recommendation Systems