Author

Feihu Huang

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#machine learning Preprint Aug 2026

Efficient Hessian-Free Methods for Multi-Objective Bilevel Optimization with Nonconvex Lower Level

This work proposes a class of Multi-Objective Moreau Envelope based Hessian-free Algorithms (MOMEHA) to solve the multi-objective bilevel learning problems with nonconvex lower level and proposes a momentum-based variant of MOMEHA (i.e., MB-MOMEHA) method to solve the stochastic multi-objective bilevel learning problems.

Yicong Jiang, Feihu Huang · 0 citations

#machine learning Preprint Aug 2026

Federated Compositional Muon Optimizer for Matrix-Wise Models

This work proposes an effective federated compositional Muon (FedCoMuon) optimizer to solve distributed matrix-wise compositional optimization problems and proposes a variance reduced variant of FedCoMuon (FedCoMuon-VR) based on a momentum-based variance reduced technique.

Wang Yan, Feihu Huang · 0 citations