ADMM for Efficient Deep Learning with Global Convergence

31 May 2019

Papers citing "ADMM for Efficient Deep Learning with Global Convergence"

25 / 25 papers shown

Title
ADMM-Based Training for Spiking Neural Networks Giovanni Perin Cesare Bidini Riccardo Mazzieri M. Rossi 39 0 0 08 May 2025
Deep Learning Optimization Using Self-Adaptive Weighted Auxiliary Variables Yaru Liu Yiqi Gu Michael K. Ng ODL 72 0 0 30 Apr 2025
Variations of Augmented Lagrangian for Robotic Multi-Contact Simulation Jeongmin Lee Minji Lee Sunkyung Park Jinhee Yun Dongjun Lee 44 0 0 24 Feb 2025
Preconditioned Inexact Stochastic ADMM for Deep Model Shenglong Zhou Ouya Wang Ziyan Luo Yongxu Zhu Geoffrey Ye Li 65 0 0 15 Feb 2025
Online Parallel Multi-Task Relationship Learning via Alternating Direction Method of Multipliers Ruiyu Li Peilin Zhao Guangxia Li Zhiqiang Xu Xuewei Li 29 0 0 09 Nov 2024
BADM: Batch ADMM for Deep Learning Ouya Wang Shenglong Zhou Geoffrey Ye Li ODL 60 1 0 30 Jun 2024
Optimizing ADMM and Over-Relaxed ADMM Parameters for Linear Quadratic Problems Jintao Song Wenqi Lu Yunwen Lei Yuchao Tang Zhenkuan Pan Jinming Duan 18 3 0 01 Jan 2024
Curriculum Learning for Graph Neural Networks: Which Edges Should We Learn First Zhengwu Zhang Junxiang Wang Liang Zhao 47 13 0 28 Oct 2023
Physics-Informed Deep Learning For Traffic State Estimation: A Survey and the Outlook Xuan Di Rongye Shi Zhaobin Mo Yongjie Fu PINN AI4TS AI4CE 37 28 0 03 Mar 2023
Modular and Parallelizable Multibody Physics Simulation via Subsystem-Based ADMM Jeongmin Lee Minji Lee Dongjun Lee 31 4 0 28 Feb 2023
Convergence Rates of Training Deep Neural Networks via Alternating Minimization Methods Jintao Xu Chenglong Bao W. Xing 19 3 0 30 Aug 2022
Learning with Local Gradients at the Edge M. Lomnitz Z. Daniels David C. Zhang M. Piacentino 39 1 0 17 Aug 2022
Efficient Global Optimization of Two-layer ReLU Networks: Quadratic-time Algorithms and Adversarial Training Yatong Bai Tanmay Gautam Somayeh Sojoudi AAML 43 17 0 06 Jan 2022
Community-based Layerwise Distributed Training of Graph Convolutional Networks Hongyi Li Junxiang Wang Yongchao Wang Yue Cheng Liang Zhao BDL GNN 6 1 0 17 Dec 2021
Towards Quantized Model Parallelism for Graph-Augmented MLPs Based on Gradient-Free ADMM Framework Junxiang Wang Hongyi Li Zheng Chai Yongchao Wang Yue Cheng Liang Zhao MQ 32 3 0 20 May 2021
Stochastic Block-ADMM for Training Deep Networks Saeed Khorram Xiao Fu Mohamad H. Danesh Zhongang Qi Li Fuxin 42 3 0 01 May 2021
Inertial Proximal Deep Learning Alternating Minimization for Efficient Neutral Network Training Linbo Qiao Tao Sun H. Pan Dongsheng Li 14 3 0 30 Jan 2021
Inexact-ADMM Based Federated Meta-Learning for Fast and Continual Edge Learning Sheng Yue Ju Ren Jiang Xin Sen Lin Junshan Zhang FedML 32 44 0 16 Dec 2020
Distributed Machine Learning for Wireless Communication Networks: Techniques, Architectures, and Applications Shuyan Hu Xiaojing Chen Wei Ni Ekram Hossain Xin Wang AI4CE 58 111 0 02 Dec 2020
Tunable Subnetwork Splitting for Model-parallelism of Neural Network Training Junxiang Wang Zheng Chai Xiangyi Chen Liang Zhao 9 2 0 09 Sep 2020
Alternating Direction Method of Multipliers for Quantization Tianjian Huang Prajwal Singhania Maziar Sanjabi Pabitra Mitra Meisam Razaviyayn MQ 35 10 0 08 Sep 2020
An Analysis of Alternating Direction Method of Multipliers for Feed-forward Neural Networks Seyedeh Niusha Alavi Foumani Ce Guo Wayne Luk 11 1 0 06 Sep 2020
P-ADMMiRNN: Training RNN with Stable Convergence via An Efficient and Paralleled ADMM Approach Yu Tang Zhigang Kan Dequan Sun Jingjing Xiao Zhiquan Lai Linbo Qiao Dongsheng Li 19 0 0 10 Jun 2020
Truthful and Faithful Monetary Policy for a Stablecoin Conducted by a Decentralised, Encrypted Artificial Intelligence David Cerezo Sánchez 14 3 0 16 Sep 2019
Deep clustering: On the link between discriminative models and K-means Mohammed Jabi M. Pedersoli A. Mitiche Ismail Ben Ayed 8 109 0 09 Oct 2018