1. Arivazhagan M. G. Aggarwal V. Singh A. K. and Choudhary S. (2019) “Federated Learning with Personalization Layers ” arXiv preprint arXiv:1912.00818.
2. A New Semiparametric Approach to Finite Mixture of Regressions using Penalized Regression via Fusion
3. “Distributed High-Dimensional Regression Under a Quantile Loss Function,”;Chen X.;The Journal of Machine Learning Research,2020
4. Choi, S., Jung, S., Yun, H., Kim, J. T., Kim, S., and Choo, J. (2021), “Robustnet: Improving Domain Generalization in Urban-Scene Segmentation via Instance Selective Whitening,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 11580–11590.
5. Dai, R., Shen, L., He, F., Tian, X., and Tao, D. (2022), “Dispfl: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training,” in International Conference on Machine Learning, pp. 4587–4604, PMLR.