Revisiting the Primal-Dual Method of Multipliers for Optimisation over Centralised Networks

19 July 2021

Papers citing "Revisiting the Primal-Dual Method of Multipliers for Optimisation over Centralised Networks"

9 / 9 papers shown

Title
A Primal-Dual Framework for Decentralized Stochastic Optimization K. Rajawat C. Kumar 41 7 0 08 Dec 2020
Federated Accelerated Stochastic Gradient Descent Honglin Yuan Tengyu Ma FedML 62 180 0 16 Jun 2020
FedSplit: An algorithmic framework for fast federated optimization Reese Pathak Martin J. Wainwright FedML 212 184 0 11 May 2020
Advances and Open Problems in Federated Learning Peter Kairouz H. B. McMahan Brendan Avent A. Bellet M. Bennis ... Zheng Xu Qiang Yang Felix X. Yu Han Yu Sen Zhao FedML AI4CE 223 6,247 0 10 Dec 2019
Federated Learning: Challenges, Methods, and Future Directions Tian Li Anit Kumar Sahu Ameet Talwalkar Virginia Smith FedML 112 4,509 0 21 Aug 2019
Distributed Optimization Using the Primal-Dual Method of Multipliers Guoqiang Zhang Richard Heusdens 51 96 0 02 Feb 2017
Gossip training for deep learning Michael Blot David Picard Matthieu Cord Nicolas Thome FedML 49 114 0 29 Nov 2016
Distributed Coordinate Descent Method for Learning with Big Data Peter Richtárik Martin Takáč 184 255 0 08 Oct 2013
Gossip Algorithms for Distributed Signal Processing A. Dimakis S. Kar José M. F. Moura Michael G. Rabbat Anna Scaglione 132 857 0 27 Mar 2010