2 papers
cs.LG2026
A Unified Framework for Gradient Aggregation in Multi-Objective Optimization
Zeou Hu, Kelvin Ho, Yaoliang Yu
Many machine learning problems involve multiple inherent trade-offs that are best addressed by gradient-based multi-objective optimization (MOO) algorithms. Existing methods are of…
cs.LG2025
An Operator Splitting View of Federated Learning
Saber Malekmohammadi, Kiarash Shaloudegi, Zeou Hu +1
Over the past few years, the federated learning () community has witnessed a proliferation of new algorithms. However, our understating of the theory of…