Distributed Training of Deep Learning Models: A Taxonomic Perspective

Distributed Training of Deep Learning Models: A Taxonomic Perspective

8 July 2020

Papers citing "Distributed Training of Deep Learning Models: A Taxonomic Perspective"

13 / 13 papers shown

Title
Dyn-D $^2$ P: Dynamic Differentially Private Decentralized Learning with Provable Utility Guarantee Z. Zhu Y. Huang Xin Wang Shouling Ji Jinming Xu 26 0 0 10 May 2025
Efficient Split Learning LSTM Models for FPGA-based Edge IoT Devices Romina Soledad Molina Vukan Ninkovic D. Vukobratović Maria Liz Crespo Marco Zennaro 40 0 0 12 Feb 2025
ReDistill: Residual Encoded Distillation for Peak Memory Reduction of CNNs Fang Chen Gourav Datta Mujahid Al Rafi Hyeran Jeon Meng Tang 93 1 0 06 Jun 2024
PrivSGP-VR: Differentially Private Variance-Reduced Stochastic Gradient Push with Tight Utility Bounds Zehan Zhu Yan Huang Xin Wang Jinming Xu 41 0 0 04 May 2024
Proof of Training (PoT): Harnessing Crypto Mining Power for Distributed AI Training Peihao Li 20 2 0 13 Jul 2023
A Survey From Distributed Machine Learning to Distributed Deep Learning Mohammad Dehghani Zahra Yazdanparast 18 0 0 11 Jul 2023
Merlin HugeCTR: GPU-accelerated Recommender System Training and Inference Zehuan Wang Yingcan Wei Minseok Lee Matthias Langer F. Yu ... Daniel G. Abel Xu Guo Jianbing Dong Ji Shi Kunlun Li GNN LRM 25 32 0 17 Oct 2022
Federated learning and next generation wireless communications: A survey on bidirectional relationship Debaditya Shome Omer Waqar Wali Ullah Khan 26 31 0 14 Oct 2021
Productivity, Portability, Performance: Data-Centric Python Yiheng Wang Yao Zhang Yanzhang Wang Yan Wan Jiao Wang Zhongyuan Wu Yuhao Yang Bowen She 52 94 0 01 Jul 2021
Randomness In Neural Network Training: Characterizing The Impact of Tooling Donglin Zhuang Xingyao Zhang S. Song Sara Hooker 25 75 0 22 Jun 2021
Pervasive AI for IoT applications: A Survey on Resource-efficient Distributed Artificial Intelligence Emna Baccour N. Mhaisen A. Abdellatif A. Erbad Amr M. Mohamed Mounir Hamdi Mohsen Guizani 26 86 0 04 May 2021
Unleashing the Tiger: Inference Attacks on Split Learning Dario Pasquini G. Ateniese M. Bernaschi FedML 21 147 0 04 Dec 2020
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 281 2,889 0 15 Sep 2016