Zai-Yun Peng

Stochastic Frank–Wolfe methods for stochastic multi-objective optimization

Hager-Zhang Conjugate Gradient Method for Set Optimization with Set-Valued Objective Map of Finite Cardinality

This work introduces a nonlinear Hager-Zhang conjugate gradient method for solving set optimization problems. The objective function under consideration is defined by a finite collection of continuously differentiable functions. Notably, the proposed approach imposes restrictions neither on the existence of a finite ge...

A Momentum-Based Variance-Reduced Algorithm for Federated Multiobjective Optimization

A momentum-based variance-reduced algorithm for federated multiobjective optimization that incorporates a momentum-driven gradient estimator into the local updates to reduce the variance of stochastic updates, leading to an improved convergence rate.