BEER: Fast $O(1/T)$ Rate for Decentralized Nonconvex Optimization with
Communication Compression

BEER: Fast $O(1/T)$ Rate for Decentralized Nonconvex Optimization with Communication Compression

31 January 2022

Peter Richtárik

Papers citing "BEER: Fast $O(1/T)$ Rate for Decentralized Nonconvex Optimization with Communication Compression"

13 / 13 papers shown

Title
Scalable Decentralized Learning with Teleportation Yuki Takezawa Sebastian U. Stich 64 1 0 25 Jan 2025
Lossless Privacy-Preserving Aggregation for Decentralized Federated Learning Xiaoye Miao Bin Li Yangyang Wu Meng Xi Xinkui Zhao 31 0 0 08 Jan 2025
Communication-efficient Vertical Federated Learning via Compressed Error Feedback Pedro Valdeira João Xavier Cláudia Soares Yuejie Chi FedML 45 4 0 20 Jun 2024
SADDLe: Sharpness-Aware Decentralized Deep Learning with Heterogeneous Data Sakshi Choudhary Sai Aparna Aketi Kaushik Roy FedML 45 0 0 22 May 2024
Decentralized Personalized Federated Learning based on a Conditional Sparse-to-Sparser Scheme Qianyu Long Qiyuan Wang Christos Anagnostopoulos Daning Bi FedML 28 0 0 24 Apr 2024
Sparse Training for Federated Learning with Regularized Error Correction Ran Greidi Kobi Cohen FedML 30 1 0 21 Dec 2023
Communication-Efficient Federated Optimization over Semi-Decentralized Networks He Wang Yuejie Chi FedML 29 2 0 30 Nov 2023
Beyond Exponential Graph: Communication-Efficient Topologies for Decentralized Learning via Finite-time Convergence Yuki Takezawa Ryoma Sato Han Bao Kenta Niwa M. Yamada 31 9 0 19 May 2023
Convergence and Privacy of Decentralized Nonconvex Optimization with Gradient Clipping and Communication Compression Boyue Li Yuejie Chi 21 12 0 17 May 2023
Lower Bounds and Accelerated Algorithms in Distributed Stochastic Optimization with Communication Compression Yutong He Xinmeng Huang Yiming Chen W. Yin Kun Yuan 31 7 0 12 May 2023
CEDAS: A Compressed Decentralized Stochastic Gradient Method with Improved Convergence Kun-Yen Huang Shin-Yi Pu 35 9 0 14 Jan 2023
Coresets for Vertical Federated Learning: Regularized Linear Regression and $K$ -Means Clustering Lingxiao Huang Zhize Li Jialin Sun Haoyu Zhao FedML 44 9 0 26 Oct 2022
EF21 with Bells & Whistles: Practical Algorithmic Extensions of Modern Error Feedback Ilyas Fatkhullin Igor Sokolov Eduard A. Gorbunov Zhize Li Peter Richtárik 46 44 0 07 Oct 2021