Author:
Sándor Dániel,Antal Péter
Publisher
Springer Nature Switzerland
Reference18 articles.
1. Chen, R., Liu, X., Jin, S., Lin, J., Liu, J.: Machine learning for drug-target interaction prediction. Molecules 23(9), 2208 (2018)
2. Kairouz, P., McMahan, H.B., Avent, B., Bellet, A., Bennis, M., Bhagoji, A. N., Zhao, S.: Advances and open problems in federated learning. Found. Trends Mach. Learn. 14(1–2), 1–210 (2021)
3. Caruana, R.: Multitask learning. Mach. Learn. 28(1), 41–75 (1997)
4. Xu, Y., Ma, J., Liaw, A., Sheridan, R.P., Svetnik, V.: Demystifying multitask deep neural networks for quantitative structure-activity relationships. J. Chem. Inf. Model. 57(10), 2490–2504 (2017)
5. Smith, V., Chiang, C.K., Sanjabi, M., Talwalkar, A.S.: Federated multi-task learning. Adv. Neural Inf. Process. Syst. 30 (2017)