A Dual Approach for Optimal Algorithms in Distributed Optimization over
Networks

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A Dual Approach for Optimal Algorithms in Distributed Optimization over Networks

3 September 2018

César A. Uribe

Alexander Gasnikov

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Papers citing "A Dual Approach for Optimal Algorithms in Distributed Optimization over Networks"

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Title
Variance-Reduced Decentralized Stochastic Optimization with Gradient Tracking -- Part II: GT-SVRG Ran Xin U. Khan S. Kar 86 8 0 08 Oct 2019
Robust and Communication-Efficient Collaborative Learning Amirhossein Reisizadeh Hossein Taheri Aryan Mokhtari Hamed Hassani Ramtin Pedarsani 99 92 0 24 Jul 2019
On linear convergence of two decentralized algorithms Yao Li Ming Yan 51 7 0 17 Jun 2019
On Maintaining Linear Convergence of Distributed Learning and Optimization under Limited Communication Sindri Magnússon H. S. Ghadikolaei Na Li 127 81 0 26 Feb 2019
Decentralized Stochastic Optimization and Gossip Algorithms with Compressed Communication Anastasia Koloskova Sebastian U. Stich Martin Jaggi FedML 85 510 0 01 Feb 2019
Push-Pull Gradient Methods for Distributed Optimization in Networks Shi Pu Wei Shi Jinming Xu A. Nedić 86 322 0 15 Oct 2018
AsySPA: An Exact Asynchronous Algorithm for Convex Optimization Over Digraphs Jiaqi Zhang Keyou You 55 74 0 13 Aug 2018
Decentralize and Randomize: Faster Algorithm for Wasserstein Barycenters Pavel Dvurechensky D. Dvinskikh Alexander Gasnikov César A. Uribe Angelia Nedić 74 106 0 11 Jun 2018
On Consensus-Optimality Trade-offs in Collaborative Deep Learning Zhanhong Jiang Aditya Balu Chinmay Hegde Soumik Sarkar FedML 45 7 0 30 May 2018
Distributed Computation of Wasserstein Barycenters over Networks César A. Uribe D. Dvinskikh Pavel Dvurechensky Alexander Gasnikov A. Nedić 46 53 0 08 Mar 2018