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@MingruiLiu-ML-Lab

GMU Mingrui Liu (ML) Lab

This is Dr. Mingrui Liu's Machine Learning research group at George Mason University

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  1. Federated-Sparse-Learning Federated-Sparse-Learning Public

    [ICML 2022] Fast Composite Optimization and Statistical Recovery in Federated Learning

    MATLAB 7

  2. Bilevel-Coreset-Selection-via-Regularization Bilevel-Coreset-Selection-via-Regularization Public

    [NeurIPS 2023] Bilevel Coreset Selection in Continual Learning: A New Formulation and Algorithm

    Python 6 1

  3. episode episode Public

    [ICLR 2023] EPISODE: Episodic Gradient Clipping with Periodic Resampled Corrections for Federated Learning with Heterogeneous Data

    Python 2

  4. Communication-Efficient-Local-Gradient-Clipping Communication-Efficient-Local-Gradient-Clipping Public

    [NeurIPS 2022] A Communication-Efficient Distributed Gradient Clipping Algorithm for Training Deep Neural Networks

    Python 1

  5. Lifelong-AUC Lifelong-AUC Public

    [UAI2023] AUC Maximization in Imbalanced Lifelong Learning

    Python

  6. episode_plusplus episode_plusplus Public

    [NeurIPS 2023] Federated Learning with Client Subsampling, Data Heterogeneity, and Unbounded Smoothness: A New Algorithm and Lower Bounds

    Python

Repositories

Showing 9 of 9 repositories
  • Provable-Benefit-Local-Steps-Feature-Learning Public

    [ICML 2024] Provable Benefits of Local Steps in Heterogeneous Federated Learning for Neural Networks: A Feature Learning Perspective

    MingruiLiu-ML-Lab/Provable-Benefit-Local-Steps-Feature-Learning’s past year of commit activity
    Python 0 MIT 0 0 0 Updated May 30, 2024
  • Single-Loop-bilevel-Optimizer-under-Unbounded-Smoothness Public

    [ICML 2024] A Nearly Optimal Single Loop Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness

    MingruiLiu-ML-Lab/Single-Loop-bilevel-Optimizer-under-Unbounded-Smoothness’s past year of commit activity
    Python 0 MIT 0 0 0 Updated May 27, 2024
  • Bilevel-Optimization-under-Unbounded-Smoothness Public

    [ICLR 2024, Spotlight] Bilevel Optimization under Unbounded Smoothness: A New Algorithm and Convergence Analysis

    MingruiLiu-ML-Lab/Bilevel-Optimization-under-Unbounded-Smoothness’s past year of commit activity
    Python 0 MIT 0 0 0 Updated Jan 17, 2024
  • Bilevel-Coreset-Selection-via-Regularization Public

    [NeurIPS 2023] Bilevel Coreset Selection in Continual Learning: A New Formulation and Algorithm

    MingruiLiu-ML-Lab/Bilevel-Coreset-Selection-via-Regularization’s past year of commit activity
    Python 6 MIT 1 0 0 Updated Nov 23, 2023
  • episode_plusplus Public

    [NeurIPS 2023] Federated Learning with Client Subsampling, Data Heterogeneity, and Unbounded Smoothness: A New Algorithm and Lower Bounds

    MingruiLiu-ML-Lab/episode_plusplus’s past year of commit activity
    Python 0 GPL-3.0 0 0 0 Updated Oct 28, 2023
  • Lifelong-AUC Public

    [UAI2023] AUC Maximization in Imbalanced Lifelong Learning

    MingruiLiu-ML-Lab/Lifelong-AUC’s past year of commit activity
    Python 0 MIT 0 0 0 Updated Jul 2, 2023
  • episode Public

    [ICLR 2023] EPISODE: Episodic Gradient Clipping with Periodic Resampled Corrections for Federated Learning with Heterogeneous Data

    MingruiLiu-ML-Lab/episode’s past year of commit activity
    Python 2 GPL-3.0 0 0 0 Updated Apr 25, 2023
  • Communication-Efficient-Local-Gradient-Clipping Public

    [NeurIPS 2022] A Communication-Efficient Distributed Gradient Clipping Algorithm for Training Deep Neural Networks

    MingruiLiu-ML-Lab/Communication-Efficient-Local-Gradient-Clipping’s past year of commit activity
    Python 1 GPL-3.0 0 0 0 Updated Sep 21, 2022
  • Federated-Sparse-Learning Public

    [ICML 2022] Fast Composite Optimization and Statistical Recovery in Federated Learning

    MingruiLiu-ML-Lab/Federated-Sparse-Learning’s past year of commit activity
    MATLAB 7 0 0 0 Updated Aug 23, 2022

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