Author

Yong Zhao

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Preprint Sep 2026

A Tight Surrogate-Based Adaptive Step Size for the Multiobjective Conditional Gradient Method

The multiobjective conditional gradient (MCondG) method is an effective descent-type algorithm for solving constrained multiobjective optimization problems. In this algorithm, the adaptive step size is derived by minimizing a one-dimensional convex quadratic surrogate function, which guarantees a sufficient decrease in...

Wang Chen, Yong Zhao, Li-Ping Tang et al. · 0 citations

Preprint Aug 2026

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.

Yong Zhao, Chunlin You, M. N. Dao et al. · 0 citations