1 code implementation • 23 Oct 2022 • Heshan Fernando, Han Shen, Miao Liu, Subhajit Chaudhury, Keerthiram Murugesan, Tianyi Chen
Machine learning problems with multiple objective functions appear either in learning with multiple criteria where learning has to make a trade-off between multiple performance metrics such as fairness, safety and accuracy; or, in multi-task learning where multiple tasks are optimized jointly, sharing inductive bias between them.
no code implementations • 25 Sep 2022 • Youbang Sun, Heshan Fernando, Tianyi Chen, Shahin Shahrampour
We consider the open federated learning (FL) systems, where clients may join and/or leave the system during the FL process.