Decentralized Stochastic Non-Convex Optimization over Weakly Connected Time-Varying Digraphs
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Songtao Lu | Chai Wah Wu | C. Wu | Songtao Lu
[1] Angelia Nedic,et al. Distributed optimization over time-varying directed graphs , 2013, 52nd IEEE Conference on Decision and Control.
[2] Gesualdo Scutari,et al. NEXT: In-Network Nonconvex Optimization , 2016, IEEE Transactions on Signal and Information Processing over Networks.
[3] Wei Shi,et al. Achieving Geometric Convergence for Distributed Optimization Over Time-Varying Graphs , 2016, SIAM J. Optim..
[4] Alejandro Ribeiro,et al. Consensus in Ad Hoc WSNs With Noisy Links—Part I: Distributed Estimation of Deterministic Signals , 2008, IEEE Transactions on Signal Processing.
[5] Wei Zhang,et al. Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent , 2017, NIPS.
[6] Ali H. Sayed,et al. Diffusion adaptive networks with changing topologies , 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.
[7] Chai Wah Wu,et al. Synchronization and convergence of linear dynamics in random directed networks , 2006, IEEE Transactions on Automatic Control.
[8] Ali Sayed,et al. Adaptation, Learning, and Optimization over Networks , 2014, Found. Trends Mach. Learn..
[9] Usman A. Khan,et al. ADD-OPT: Accelerated Distributed Directed Optimization , 2016, IEEE Transactions on Automatic Control.
[10] Luc Moreau,et al. Stability of multiagent systems with time-dependent communication links , 2005, IEEE Transactions on Automatic Control.
[11] Michael G. Rabbat,et al. Stochastic Gradient Push for Distributed Deep Learning , 2018, ICML.
[12] Van Sy Mai,et al. Linear Convergence in Optimization Over Directed Graphs With Row-Stochastic Matrices , 2016, IEEE Transactions on Automatic Control.
[13] Songtao Lu,et al. Learn Electronic Health Records by Fully Decentralized Federated Learning , 2019, ArXiv.
[14] Yunlong Wang,et al. Decentralized Federated Learning for Electronic Health Records , 2020, 2020 54th Annual Conference on Information Sciences and Systems (CISS).
[15] Stephen P. Boyd,et al. Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers , 2011, Found. Trends Mach. Learn..
[16] Xiangru Lian,et al. D2: Decentralized Training over Decentralized Data , 2018, ICML.
[17] José M. F. Moura,et al. Linear Convergence Rate of a Class of Distributed Augmented Lagrangian Algorithms , 2013, IEEE Transactions on Automatic Control.
[18] Shenghuo Zhu,et al. Parallel Restarted SGD with Faster Convergence and Less Communication: Demystifying Why Model Averaging Works for Deep Learning , 2018, AAAI.
[19] Daniel Pérez Palomar,et al. Distributed nonconvex multiagent optimization over time-varying networks , 2016, 2016 50th Asilomar Conference on Signals, Systems and Computers.
[20] Gesualdo Scutari,et al. Distributed nonconvex constrained optimization over time-varying digraphs , 2018, Mathematical Programming.
[21] Chai Wah Wu,et al. Conditions for weak ergodicity of inhomogeneous Markov chains , 2008 .
[22] Asuman E. Ozdaglar,et al. Distributed Subgradient Methods for Multi-Agent Optimization , 2009, IEEE Transactions on Automatic Control.
[23] Songtao Lu,et al. Sparsity-aware adaptive link combination approach over distributed networks , 2014 .
[24] Songtao Lu,et al. GNSD: a Gradient-Tracking Based Nonconvex Stochastic Algorithm for Decentralized Optimization , 2019, 2019 IEEE Data Science Workshop (DSW).
[25] Qing Ling,et al. EXTRA: An Exact First-Order Algorithm for Decentralized Consensus Optimization , 2014, 1404.6264.
[26] Chai Wah Wu. On some properties of contracting matrices , 2008 .
[27] Pascal Bianchi,et al. Convergence of a Multi-Agent Projected Stochastic Gradient Algorithm for Non-Convex Optimization , 2011, IEEE Transactions on Automatic Control.
[28] Zhi-Quan Luo,et al. Convergence analysis of alternating direction method of multipliers for a family of nonconvex problems , 2014, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[29] Gonzalo Mateos,et al. Distributed Sparse Linear Regression , 2010, IEEE Transactions on Signal Processing.