Li, Bin, Jiang, Xiaoqian, Hsu, Yu-Chun, Harmanci, Arif O, Gao, Hongchang, and Shi, Xinghua. FSLearning: An Efficient Federated Split Learning Framework for Privacy-Preserving Disease Prediction. Retrieved from https://par.nsf.gov/biblio/10639436. Web. doi:10.1007/978-3-031-95838-0_22.

Li, Bin, Jiang, Xiaoqian, Hsu, Yu-Chun, Harmanci, Arif O, Gao, Hongchang, & Shi, Xinghua. FSLearning: An Efficient Federated Split Learning Framework for Privacy-Preserving Disease Prediction. Retrieved from https://par.nsf.gov/biblio/10639436. https://doi.org/10.1007/978-3-031-95838-0_22

Li, Bin, Jiang, Xiaoqian, Hsu, Yu-Chun, Harmanci, Arif O, Gao, Hongchang, and Shi, Xinghua. "FSLearning: An Efficient Federated Split Learning Framework for Privacy-Preserving Disease Prediction". Country unknown/Code not available: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-95838-0_22. https://par.nsf.gov/biblio/10639436.

@article{osti_10639436,
place = {Country unknown/Code not available}, title = {FSLearning: An Efficient Federated Split Learning Framework for Privacy-Preserving Disease Prediction}, url = {https://par.nsf.gov/biblio/10639436}, DOI = {10.1007/978-3-031-95838-0_22}, abstractNote = {Not Available}, journal = {}, publisher = {Springer Nature Switzerland}, author = {Li, Bin and Jiang, Xiaoqian and Hsu, Yu-Chun and Harmanci, Arif O and Gao, Hongchang and Shi, Xinghua}, }