BlueFog: Make Decentralized Algorithms Practical for Optimization and Deep Learning

8 November 2021

Papers citing "BlueFog: Make Decentralized Algorithms Practical for Optimization and Deep Learning"

6 / 6 papers shown

Title
Distributed Fractional Bayesian Learning for Adaptive Optimization Yaqun Yang Jinlong Lei Guanghui Wen Yiguang Hong 29 0 0 17 Apr 2024
Correct orchestration of Federated Learning generic algorithms: formalisation and verification in CSP Ivan Prokić S. Ghilezan Simona Kasterovic M. Popovic M. Popovic I. Kastelan FedML 20 3 0 26 Jun 2023
On the Performance of Gradient Tracking with Local Updates Edward Duc Hien Nguyen Sulaiman A. Alghunaim Kun Yuan César A. Uribe 37 19 0 10 Oct 2022
Heavy-Tail Phenomenon in Decentralized SGD Mert Gurbuzbalaban Yuanhan Hu Umut Simsekli Kun Yuan Lingjiong Zhu 38 8 0 13 May 2022
Exponential Graph is Provably Efficient for Decentralized Deep Training Bicheng Ying Kun Yuan Yiming Chen Hanbin Hu Pan Pan W. Yin FedML 39 83 0 26 Oct 2021
DecentLaM: Decentralized Momentum SGD for Large-batch Deep Training Kun Yuan Yiming Chen Xinmeng Huang Yingya Zhang Pan Pan Yinghui Xu W. Yin MoE 55 61 0 24 Apr 2021