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"

10 / 10 papers shown

Title
Communication Optimization for Decentralized Learning atop Bandwidth-limited Edge Networks Tingyang Sun Tuan Nguyen Ting He 37 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 32 9 0 14 Jan 2023
Quantization for decentralized learning under subspace constraints Roula Nassif Stefan Vlaski Marco Carpentiero Vincenzo Matta Marc Antonini Ali H. Sayed 30 29 0 16 Sep 2022
BEER: Fast $O(1/T)$ Rate for Decentralized Nonconvex Optimization with Communication Compression Haoyu Zhao Boyue Li Zhize Li Peter Richtárik Yuejie Chi 26 48 0 31 Jan 2022
Decentralized Multi-Task Stochastic Optimization With Compressed Communications Navjot Singh Xuanyu Cao Suhas Diggavi Tamer Basar 18 9 0 23 Dec 2021
Sample and Communication-Efficient Decentralized Actor-Critic Algorithms with Finite-Time Analysis Ziyi Chen Yi Zhou Rongrong Chen Shaofeng Zou 15 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 187 412 0 14 Jul 2021
Federated Learning with Compression: Unified Analysis and Sharp Guarantees Farzin Haddadpour Mohammad Mahdi Kamani Aryan Mokhtari M. Mahdavi FedML 33 271 0 02 Jul 2020