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Hansheng Wang

Network EM Algorithm for Gaussian Mixture Model in Decentralized Federated Learning

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Nov 08, 2024
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A Selective Review on Statistical Methods for Massive Data Computation: Distributed Computing, Subsampling, and Minibatch Techniques

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Mar 17, 2024
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Quasi-Newton Updating for Large-Scale Distributed Learning

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Jun 11, 2023
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Improved Naive Bayes with Mislabeled Data

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Apr 13, 2023
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Embedding Compression for Text Classification Using Dictionary Screening

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Nov 23, 2022
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Network Gradient Descent Algorithm for Decentralized Federated Learning

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May 06, 2022
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On the Subbagging Estimation for Massive Data

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Feb 28, 2021
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Hyperparameter Selection for Subsampling Bootstraps

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Jun 02, 2020
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Automatic, Dynamic, and Nearly Optimal Learning Rate Specification by Local Quadratic Approximation

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Apr 07, 2020
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Least Squares Approximation for a Distributed System

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Aug 14, 2019
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