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.OC2024
On the convergence of conditional gradient method for unbounded multiobjective optimization problems
Wang Chen, Yong Zhao, Liping Tang +1
This paper focuses on developing a conditional gradient algorithm for multiobjective optimization problems with an unbounded feasible region. We employ the concept of recession con…
math.OC2023
Conjugate gradient methods without line search for multiobjective optimization
Wang Chen, Yong Zhao, Liping Tang +1
This paper addresses unconstrained multiobjective optimization problems where two or more continuously differentiable functions have to be minimized. We delve into the conjugate gr…