2 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.LG2023★ 2 cited
Three-Way Trade-Off in Multi-Objective Learning: Optimization, Generalization and Conflict-Avoidance
Lisha Chen, Heshan Fernando, Yiming Ying +1
Multi-objective learning (MOL) problems often arise in emerging machine learning problems when there are multiple learning criteria, data modalities, or learning tasks. Different f…
cs.LG2022★ 2 cited
Mitigating Gradient Bias in Multi-objective Learning: A Provably Convergent Stochastic Approach
Heshan Fernando, Han Shen, Miao Liu +3
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 met…
cs.LG2022
On the Stability Analysis of Open Federated Learning Systems
Youbang Sun, Heshan Fernando, Tianyi Chen +1
We consider the open federated learning (FL) systems, where clients may join and/or leave the system during the FL process. Given the variability of the number of present clients,…