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Parallel Coordinate Descent Newton Method for Efficient L1 -Regularized Loss Minimization

IEEE transaction on neural networks and learning systems, 2019-11, Vol.30 (11), p.3233-3245

2019

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Exponential Synchronization of Complex Networks of Linear Systems and Nonlinear Oscillators: A Unified Analysis

IEEE transaction on neural networks and learning systems, 2015-03, Vol.26 (3), p.510-521

2015

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A Novel Value Iteration Scheme With Adjustable Convergence Rate

IEEE transaction on neural networks and learning systems, 2023-10, Vol.34 (10), p.7430-7442

2023

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Using frames in GMRES-based iteration method for solving operator equations

Journal of Mahani Mathematical Research Center, 2024-08, Vol.13 (2), p.107-119

2024

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A Maximally Split and Relaxed ADMM for Regularized Extreme Learning Machines

IEEE transaction on neural networks and learning systems, 2020-06, Vol.31 (6), p.1899-1913

2020

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Deep Echo State Q-Network (DEQN) and Its Application in Dynamic Spectrum Sharing for 5G and Beyond

IEEE transaction on neural networks and learning systems, 2022-03, Vol.33 (3), p.929-939

2022

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Stochastic Strongly Convex Optimization via Distributed Epoch Stochastic Gradient Algorithm

IEEE transaction on neural networks and learning systems, 2021-06, Vol.32 (6), p.2344-2357

2021

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P-FedAvg: Parallelizing Federated Learning with Theoretical Guarantees

IEEE INFOCOM 2021 - IEEE Conference on Computer Communications, 2021, p.1-10

2021

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Optimizing the Numbers of Queries and Replies in Convex Federated Learning With Differential Privacy

IEEE transactions on dependable and secure computing, 2023-11, Vol.20 (6), p.4823-4837

2023

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Data-Driven High-Order Point-to-Point ILC With Higher Computational Efficiency

IEEE transactions on automation science and engineering, 2023-10, p.1-16

2023

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Fick's Law Assisted Propagation for Semisupervised Learning

IEEE transaction on neural networks and learning systems, 2015-09, Vol.26 (9), p.2148-2162

2015

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Varying Infimum Gradient Descent Algorithm for Agent-Sever Systems Using Different Order Iterative Preconditioning Methods

IEEE transactions on industrial informatics, 2022-07, Vol.18 (7), p.4436-4446

2022

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An Optimized Sparse Response Mechanism for Differentially Private Federated Learning

IEEE transactions on dependable and secure computing, 2024-07, Vol.21 (4), p.2285-2295

2024

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Exploring the Practicality of Differentially Private Federated Learning: A Local Iteration Tuning Approach

IEEE transactions on dependable and secure computing, 2024-07, Vol.21 (4), p.3280-3294

2024

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Convergence Rate for Discrete-Time Multiagent Systems With Time-Varying Delays and General Coupling Coefficients

IEEE transaction on neural networks and learning systems, 2016-01, Vol.27 (1), p.178-189

2016

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Convergence Rate for Distributed Macro Calibration of Sensor Networks based on Consensus

Acta polytechnica Hungarica, 2023, Vol.20 (4), p.161-179

2023

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Impact of Artificial Compressibility on the Numerical Solution of Incompressible Nanofluid Flow

Computers, materials & continua, 2023, Vol.74 (3), p.5123-5139

2023

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Research on Data Mining Algorithm Based on BP Neural Network

International Journal of Circuits, Systems and Signal Processing, 2022, Vol.16, p.734-740

2022

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Parallel Coordinate Descent Newton Method for Efficient L -Regularized Loss Minimization

IEEE transaction on neural networks and learning systems, 2019-11, Vol.30 (11), p.3233-3245

2019

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Adaptive Modulation for Wireless Federated Edge Learning

IEEE transactions on cognitive communications and networking, 2023-08, Vol.9 (4), p.1096-1109

2023

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A Modification of Artificial Bee Colony Algorithm Applied to Loudspeaker Design Problem

IEEE transactions on magnetics, 2014-02, Vol.50 (2), p.737-740

2014

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Convergence of Graph Neural Networks on Relatively Sparse Graphs

2023 57th Asilomar Conference on Signals, Systems, and Computers, 2023, p.566-572

2023

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Non-degenerate stationary solution for outﬂow problem on the 1-D viscous heat-conducting gas with radiation

Communications in mathematical sciences, 2020, Vol.18 (6), p.1661-1684

2020

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Adaptive optimal control of unknown discrete-time linear systems with guaranteed prescribed degree of stability using reinforcement learning

International journal of dynamics and control, 2022-06, Vol.10 (3), p.870-878

2022

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Fast Consensus for Leader-Following Double-Integrator Systems

2023 42nd Chinese Control Conference (CCC), 2023, p.5921-5926

2023

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Parallel Coordinate Descent Newton Method for Efficient L1 -Regularized Loss Minimization

Exponential Synchronization of Complex Networks of Linear Systems and Nonlinear Oscillators: A Unified Analysis

A Novel Value Iteration Scheme With Adjustable Convergence Rate

Using frames in GMRES-based iteration method for solving operator equations

A Maximally Split and Relaxed ADMM for Regularized Extreme Learning Machines

Deep Echo State Q-Network (DEQN) and Its Application in Dynamic Spectrum Sharing for 5G and Beyond

Stochastic Strongly Convex Optimization via Distributed Epoch Stochastic Gradient Algorithm

P-FedAvg: Parallelizing Federated Learning with Theoretical Guarantees

Optimizing the Numbers of Queries and Replies in Convex Federated Learning With Differential Privacy

Data-Driven High-Order Point-to-Point ILC With Higher Computational Efficiency

Fick's Law Assisted Propagation for Semisupervised Learning

Varying Infimum Gradient Descent Algorithm for Agent-Sever Systems Using Different Order Iterative Preconditioning Methods

An Optimized Sparse Response Mechanism for Differentially Private Federated Learning

Exploring the Practicality of Differentially Private Federated Learning: A Local Iteration Tuning Approach

Convergence Rate for Discrete-Time Multiagent Systems With Time-Varying Delays and General Coupling Coefficients

Convergence Rate for Distributed Macro Calibration of Sensor Networks based on Consensus

Impact of Artificial Compressibility on the Numerical Solution of Incompressible Nanofluid Flow

Research on Data Mining Algorithm Based on BP Neural Network

Parallel Coordinate Descent Newton Method for Efficient L -Regularized Loss Minimization

Adaptive Modulation for Wireless Federated Edge Learning

A Modification of Artificial Bee Colony Algorithm Applied to Loudspeaker Design Problem

Convergence of Graph Neural Networks on Relatively Sparse Graphs

Non-degenerate stationary solution for outﬂow problem on the 1-D viscous heat-conducting gas with radiation

Adaptive optimal control of unknown discrete-time linear systems with guaranteed prescribed degree of stability using reinforcement learning

Fast Consensus for Leader-Following Double-Integrator Systems

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