Publisher
Springer Nature Switzerland
Reference33 articles.
1. Bhavana, P., Padmanabhan, V.: Matrix factorization of large scale data using multistage matrix factorization. Appl. Intell. 51(6), 4016–4028 (2021)
2. Blanchard, P., El Mhamdi, E.M., Guerraoui, R., Stainer, J.: Machine learning with adversaries: Byzantine tolerant gradient descent. In: Proceedings of the 31st International Conference on Neural Information Processing Systems, pp. 118–128 (2017)
3. Cai, W., Du, X., Xu, J.: A personalized qos prediction method for web services via blockchain-based matrix factorization. Sensors 19(12), 2749 (2019)
4. Candes, E.J., Plan, Y.: Matrix completion with noise. Proc. IEEE 98(6), 925–936 (2010)
5. Chen, L., Yang, W., Li, K., Li, K.: Distributed matrix factorization based on fast optimization for implicit feedback recommendation. J. Intell. Inform. Syst. 56(1), 49–72 (2021)