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A Workflow for Lipid Nanoparticle LNP Formulation Optimization using Designed Mixture-Process Experiments and Self-Validated Ensemble Models SVEM
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Distributed Stochastic Proximal Algorithm With Random Reshuffling for Nonsmooth Finite-Sum Optimization.

Xia Jiang, Xianlin Zeng, Jian Sun

    IEEE Transactions on Neural Networks and Learning Systems
    |September 7, 2022
    PubMed
    Summary

    This study introduces a distributed algorithm for nonsmooth finite-sum minimization problems in machine learning. The novel approach ensures agents reach consensus and approach optimal solutions efficiently.

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