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

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"

12 / 12 papers shown

Title
Markov Chain Mirror Descent On Data Federation Yawei Zhao FedML 18 1 0 26 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 39 14 0 25 May 2023
From Noisy Fixed-Point Iterations to Private ADMM for Centralized and Federated Learning Edwige Cyffers A. Bellet D. Basu FedML 29 5 0 24 Feb 2023
Differentially Private Decentralized Optimization with Relay Communication Luqing Wang Luyao Guo Shaofu Yang Xinli Shi 13 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 35 222 0 15 Nov 2022
Stability and Generalization for Markov Chain Stochastic Gradient Methods Puyu Wang Yunwen Lei Yiming Ying Ding-Xuan Zhou 18 18 0 16 Sep 2022
Efficiency Ordering of Stochastic Gradient Descent Jie Hu Vishwaraj Doshi Do Young Eun 31 6 0 15 Sep 2022
A principled framework for the design and analysis of token algorithms Hadrien Hendrikx FedML 22 13 0 30 May 2022
Asynchronous Parallel Incremental Block-Coordinate Descent for Decentralized Machine Learning Hao Chen Yu Ye Ming Xiao Mikael Skoglund 17 3 0 07 Feb 2022
Adaptive Stochastic ADMM for Decentralized Reinforcement Learning in Edge Industrial IoT Wanlu Lei Yu Ye Ming Xiao Mikael Skoglund Zhu Han 21 1 0 30 Jun 2021
Privacy Amplification by Decentralization Edwige Cyffers A. Bellet FedML 44 39 0 09 Dec 2020
Privacy-preserving Incremental ADMM for Decentralized Consensus Optimization Yu Ye Hao Chen Ming Xiao Mikael Skoglund H. Vincent Poor 8 28 0 24 Mar 2020