3 papers
cs.LG2026
A Momentum-Based Variance-Reduced Algorithm for Federated Multiobjective Optimization
Yong Zhao, Chunlin You, Minh N. Dao +1
Federated learning has traditionally been formulated as a single-objective optimization problem, primarily focused on maximizing model utility. In real-world applications, however,…
math.OC2025
A proximal subgradient algorithm for constrained multiobjective DC-type optimization
Nguyen Van Tuyen, Minh N. Dao, Tran Van Nghi
In this paper, we consider a class of constrained multiobjective optimization problems, where each objective function can be expressed by adding a possibly nonsmooth nonconvex func…
math.OC2025
Variable Smoothing Alternating Proximal Gradient Algorithm for Coupled Composite Optimization
Xian-Jun Long, Kang Zeng, Gao-Xi Li +2
In this paper, we consider a broad class of nonconvex and nonsmooth optimization problems, where one objective component is a nonsmooth weakly convex function composed with a linea…