热门出版物
标题/作者年份
A unified theory of decentralized sgd with changing topology and local updates
A Koloskova, N Loizou, S Boreiri, M Jaggi, S Stich
International Conference on Machine Learning, 5381-5393
2020
Push–pull gradient methods for distributed optimization in networks
S Pu, W Shi, J Xu, A Nedić
IEEE Transactions on Automatic Control 66 (1), 1-16
2020
Decentralize and randomize: Faster algorithm for Wasserstein barycenters
P Dvurechenskii, D Dvinskikh, A Gasnikov, C Uribe, A Nedich
Advances in Neural Information Processing Systems 31
2018
On the complexity of approximating Wasserstein barycenters
A Kroshnin, N Tupitsa, D Dvinskikh, P Dvurechensky, A Gasnikov, C Uribe
International conference on machine learning, 3530-3540
2019
Decentralized proximal gradient algorithms with linear convergence rates
SA Alghunaim, EK Ryu, K Yuan, AH Sayed
IEEE Transactions on Automatic Control 66 (6), 2787-2794
2020
Robust and communication-efficient collaborative learning
A Reisizadeh, H Taheri, A Mokhtari, H Hassani, R Pedarsani
Advances in Neural Information Processing Systems 32
2019
Communication-efficient distributed deep learning: A comprehensive survey
Z Tang, S Shi, X Chu, W Wang, B Li
arXiv preprint arXiv:2003.06307
2020
On maintaining linear convergence of distributed learning and optimization under limited communication
S Magnússon, H Shokri-Ghadikolaei, N Li
IEEE Transactions on Signal Processing 68, 6101-6116
2020
Variance-reduced decentralized stochastic optimization with accelerated convergence
R Xin, UA Khan, S Kar
IEEE Transactions on Signal Processing 68, 6255-6271
2020
AsySPA: An exact asynchronous algorithm for convex optimization over digraphs
J Zhang, K You
IEEE Transactions on Automatic Control 65 (6), 2494-2509
2019
Decentralized and parallel primal and dual accelerated methods for stochastic convex programming problems
D Dvinskikh, A Gasnikov
Journal of Inverse and Ill-posed Problems 29 (3), 385-405
2021
A general framework for decentralized optimization with first-order methods
R Xin, S Pu, A Nedić, UA Khan
Proceedings of the IEEE 108 (11), 1869-1889
2020
Distributed computation of Wasserstein barycenters over networks
CA Uribe, D Dvinskikh, P Dvurechensky, A Gasnikov, A Nedić
2018 IEEE Conference on Decision and Control (CDC), 6544-6549
2018
A linearly convergent algorithm for decentralized optimization: Sending less bits for free!
D Kovalev, A Koloskova, M Jaggi, P Richtarik, S Stich
International Conference on Artificial Intelligence and Statistics, 4087-4095
2021
Optimal and practical algorithms for smooth and strongly convex decentralized optimization
D Kovalev, A Salim, P Richtárik
Advances in Neural Information Processing Systems 33, 18342-18352
2020
Multi-consensus decentralized accelerated gradient descent
H Ye, L Luo, Z Zhou, T Zhang
arXiv preprint arXiv:2005.00797
2020
Optimal algorithms for distributed optimization
CA Uribe, S Lee, A Gasnikov, A Nedić
arXiv preprint arXiv:1712.00232
2017
Revisiting extra for smooth distributed optimization
H Li, Z Lin
SIAM Journal on Optimization 30 (3), 1795-1821
2020
An optimal algorithm for decentralized finite-sum optimization
H Hendrikx, F Bach, L Massoulie
SIAM Journal on Optimization 31 (4), 2753-2783
2021
Accelerated primal-dual algorithms for distributed smooth convex optimization over networks
J Xu, Y Tian, Y Sun, G Scutari
International Conference on Artificial Intelligence and Statistics, 2381-2391
2020
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