SQuARM-SGD: Communication-Efficient Momentum SGD for Decentralized
Optimization

SQuARM-SGD: Communication-Efficient Momentum SGD for Decentralized Optimization

13 May 2020

Suhas Diggavi

Papers citing "SQuARM-SGD: Communication-Efficient Momentum SGD for Decentralized Optimization"

8 / 8 papers shown

Title
Communication Optimization for Decentralized Learning atop Bandwidth-limited Edge Networks Tingyang Sun Tuan Nguyen Ting He 35 0 0 16 Apr 2025
Convergence and Privacy of Decentralized Nonconvex Optimization with Gradient Clipping and Communication Compression Boyue Li Yuejie Chi 21 12 0 17 May 2023
CEDAS: A Compressed Decentralized Stochastic Gradient Method with Improved Convergence Kun-Yen Huang Shin-Yi Pu 30 9 0 14 Jan 2023
BEER: Fast $O(1/T)$ Rate for Decentralized Nonconvex Optimization with Communication Compression Haoyu Zhao Boyue Li Zhize Li Peter Richtárik Yuejie Chi 19 48 0 31 Jan 2022
Sample and Communication-Efficient Decentralized Actor-Critic Algorithms with Finite-Time Analysis Ziyi Chen Yi Zhou Rongrong Chen Shaofeng Zou 13 24 0 08 Sep 2021
QuPeD: Quantized Personalization via Distillation with Applications to Federated Learning Kaan Ozkara Navjot Singh Deepesh Data Suhas Diggavi FedML MQ 24 56 0 29 Jul 2021
A Field Guide to Federated Optimization Jianyu Wang Zachary B. Charles Zheng Xu Gauri Joshi H. B. McMahan ... Mi Zhang Tong Zhang Chunxiang Zheng Chen Zhu Wennan Zhu FedML 181 411 0 14 Jul 2021
Federated Learning with Compression: Unified Analysis and Sharp Guarantees Farzin Haddadpour Mohammad Mahdi Kamani Aryan Mokhtari M. Mahdavi FedML 23 271 0 02 Jul 2020