Double Quantization for Communication-Efficient Distributed Optimization

25 May 2018

Papers citing "Double Quantization for Communication-Efficient Distributed Optimization"

10 / 10 papers shown

Title
Improved Convergence Analysis and SNR Control Strategies for Federated Learning in the Presence of Noise Antesh Upadhyay Abolfazl Hashemi 29 9 0 14 Jul 2023
Distributed Optimization Methods for Multi-Robot Systems: Part II -- A Survey O. Shorinwa Trevor Halsted Javier Yu Mac Schwager 16 18 0 26 Jan 2023
Optimus-CC: Efficient Large NLP Model Training with 3D Parallelism Aware Communication Compression Jaeyong Song Jinkyu Yim Jaewon Jung Hongsun Jang H. Kim Youngsok Kim Jinho Lee GNN 14 25 0 24 Jan 2023
Efficient and Light-Weight Federated Learning via Asynchronous Distributed Dropout Chen Dun Mirian Hipolito Garcia C. Jermaine Dimitrios Dimitriadis Anastasios Kyrillidis 56 20 0 28 Oct 2022
QC-ODKLA: Quantized and Communication-Censored Online Decentralized Kernel Learning via Linearized ADMM Ping Xu Yue Wang Xiang Chen Zhi Tian 13 2 0 04 Aug 2022
Distributed Adversarial Training to Robustify Deep Neural Networks at Scale Gaoyuan Zhang Songtao Lu Yihua Zhang Xiangyi Chen Pin-Yu Chen Quanfu Fan Lee Martie L. Horesh Min-Fong Hong Sijia Liu OOD 22 12 0 13 Jun 2022
ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training Hui-Po Wang Sebastian U. Stich Yang He Mario Fritz FedML AI4CE 28 46 0 11 Oct 2021
ErrorCompensatedX: error compensation for variance reduced algorithms Hanlin Tang Yao Li Ji Liu Ming Yan 24 9 0 04 Aug 2021
ResIST: Layer-Wise Decomposition of ResNets for Distributed Training Chen Dun Cameron R. Wolfe C. Jermaine Anastasios Kyrillidis 16 21 0 02 Jul 2021
Communication optimization strategies for distributed deep neural network training: A survey Shuo Ouyang Dezun Dong Yemao Xu Liquan Xiao 17 12 0 06 Mar 2020