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Walkman: A Communication-Efficient Random-Walk Algorithm for Decentralized Optimization

18 April 2018

Papers citing "Walkman: A Communication-Efficient Random-Walk Algorithm for Decentralized Optimization"

33 / 33 papers shown

Title
Decentralized Optimization with Topology-Independent Communication Ying Lin Yao Kuang Ahmet Alacaoglu Michael P. Friedlander 24 0 0 17 Sep 2025
Random Walk Learning and the Pac-Man Attack Xingran Chen Parimal Parag Rohit Bhagat Zonghong Liu S. E. Rouayheb AAML 32 0 0 01 Aug 2025
Differential Privacy Analysis of Decentralized Gossip Averaging under Varying Threat Models A. Koskela Tejas D. Kulkarni 78 0 0 26 May 2025
Review of Mathematical Optimization in Federated Learning Shusen Yang Fangyuan Zhao Zihao Zhou Liang Shi Xuebin Ren Zongben Xu FedML AI4CE 211 4 0 02 Dec 2024
Sequential Federated Learning in Hierarchical Architecture on Non-IID Datasets Xingrun Yan Shiyuan Zuo Rongfei Fan Han Hu Li Shen Puning Zhao Yong Luo FedML 120 0 0 19 Aug 2024
The Entrapment Problem in Random Walk Decentralized Learning Zonghong Liu S. E. Rouayheb Matthew Dwyer 80 1 0 30 Jul 2024
DRACO: Decentralized Asynchronous Federated Learning over Row-Stochastic Wireless Networks Eunjeong Jeong Marios Kountouris 151 1 0 19 Jun 2024
Communication-Efficient and Privacy-Preserving Decentralized Meta-Learning Hansi Yang James T. Kwok 124 0 0 19 Jun 2024
Stochastic optimization with arbitrary recurrent data sampling William G. Powell Hanbaek Lyu 138 0 0 15 Jan 2024
Markov Chain Mirror Descent On Data Federation Yawei Zhao FedML 105 1 0 26 Sep 2023
A Multi-Token Coordinate Descent Method for Semi-Decentralized Vertical Federated Learning Pedro Valdeira Yuejie Chi Cláudia Soares Joao Xavier 115 3 0 18 Sep 2023
First Order Methods with Markovian Noise: from Acceleration to Variational Inequalities Aleksandr Beznosikov S. Samsonov Marina Sheshukova Alexander Gasnikov A. Naumov Eric Moulines 170 16 0 25 May 2023
Mobilizing Personalized Federated Learning in Infrastructure-Less and Heterogeneous Environments via Random Walk Stochastic ADMM Ziba Parsons Fei Dou Houyi Du Zheng Song Jin Lu 150 3 0 25 Apr 2023
Stochastic Gradient Descent under Markovian Sampling Schemes Mathieu Even 124 34 0 28 Feb 2023
From Noisy Fixed-Point Iterations to Private ADMM for Centralized and Federated Learning Edwige Cyffers A. Bellet D. Basu FedML 148 5 0 24 Feb 2023
Decentralized Entropic Optimal Transport for Privacy-preserving Distributed Distribution Comparison Xiangfeng Wang Hongteng Xu Moyi Yang OT 157 2 0 28 Jan 2023
Differentially Private Decentralized Optimization with Relay Communication Luqing Wang Luyao Guo Shaofu Yang Xinli Shi 94 0 0 21 Dec 2022
Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges Enrique Tomás Martínez Beltrán Mario Quiles Pérez Pedro Miguel Sánchez Sánchez Sergio López Bernal Gérome Bovet M. Pérez Gregorio Martínez Pérez Alberto Huertas Celdrán FedML 189 317 0 15 Nov 2022
Stability and Generalization for Markov Chain Stochastic Gradient Methods Puyu Wang Yunwen Lei Yiming Ying Ding-Xuan Zhou 118 20 0 16 Sep 2022
Efficiency Ordering of Stochastic Gradient Descent Jie Hu Vishwaraj Doshi Do Young Eun 100 7 0 15 Sep 2022
Walk for Learning: A Random Walk Approach for Federated Learning from Heterogeneous Data Ghadir Ayache Venkat Dassari S. E. Rouayheb FedML 73 27 0 01 Jun 2022
A principled framework for the design and analysis of token algorithms Aymeric Dieuleveut FedML 116 16 0 30 May 2022
Asynchronous Parallel Incremental Block-Coordinate Descent for Decentralized Machine Learning Hao Chen Yu Ye Ming Xiao Mikael Skoglund 128 3 0 07 Feb 2022
Fed-ensemble: Improving Generalization through Model Ensembling in Federated Learning Naichen Shi Fan Lai Raed Al Kontar Mosharaf Chowdhury FedML 109 38 0 21 Jul 2021
Adaptive Stochastic ADMM for Decentralized Reinforcement Learning in Edge Industrial IoT Wanlu Lei Yu Ye Ming Xiao Mikael Skoglund Zhu Han 74 1 0 30 Jun 2021
Privacy Amplification by Decentralization Edwige Cyffers A. Bellet FedML 218 42 0 09 Dec 2020
Coded Stochastic ADMM for Decentralized Consensus Optimization with Edge Computing Hao Chen Yu Ye Ming Xiao Mikael Skoglund H. Vincent Poor 77 17 0 02 Oct 2020
Private Weighted Random Walk Stochastic Gradient Descent Ghadir Ayache S. E. Rouayheb FedML 117 20 0 03 Sep 2020
Privacy-preserving Incremental ADMM for Decentralized Consensus Optimization Yu Ye Hao Chen Ming Xiao Mikael Skoglund H. Vincent Poor 96 33 0 24 Mar 2020
Decentralized Consensus Optimization Based on Parallel Random Walk Yu Ye Hao Chen Zheng Ma Ming Xiao 38 23 0 21 Nov 2019
On the Influence of Bias-Correction on Distributed Stochastic Optimization Kun Yuan Sulaiman A. Alghunaim Bicheng Ying Ali H. Sayed 134 68 0 26 Mar 2019
Markov Chain Block Coordinate Descent Tao Sun Yuejiao Sun Yangyang Xu W. Yin 65 9 0 22 Nov 2018
Dynamic Average Diffusion with randomized Coordinate Updates Bicheng Ying Kun Yuan Ali H. Sayed 84 6 0 21 Oct 2018