conjugate gradient method 1global convergence 1scalarization 1set optimization 1vector optimization 1wolfe line search 1
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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.OC2026
Hager-Zhang Conjugate Gradient Method for Set Optimization with Set-Valued Objective Map of Finite Cardinality
Ravi Raushan, Debdas Ghosh, Zai-Yun Peng
The paper proposes a nonlinear Hager‑Zhang conjugate gradient algorithm for set optimization problems with a finite collection of differentiable objective functions, establishing W…