Jiageng Liu

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All published works

Action	Title	Year	Authors
+	Variance-Reduced Stochastic Learning by Networked Agents under Random Reshuffling	2017	Kun Yuan Bicheng Ying Jiageng Liu Ali H. Sayed

Common Coauthors

Coauthor	Papers Together
Bicheng Ying	1
Ali H. Sayed	1
Kun Yuan	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	EXTRA: An Exact First-Order Algorithm for Decentralized Consensus Optimization	2015	Wei Shi Qing Ling Gang Wu Wotao Yin	1
+ PDF Chat	On the Convergence of Decentralized Gradient Descent	2016	Kun Yuan Qing Ling Wotao Yin	1
+ PDF Chat	On the Learning Behavior of Adaptive Networks—Part I: Transient Analysis	2015	Jianshu Chen Ali H. Sayed	1
+ PDF Chat	A Proximal Stochastic Gradient Method with Progressive Variance Reduction	2014	Lin Xiao Tong Zhang	1
+ PDF Chat	Distributed Parameter Estimation in Sensor Networks: Nonlinear Observation Models and Imperfect Communication	2012	Soummya Kar José M. F. Moura Kavita Ramanan	1
+ PDF Chat	On the Linear Convergence of the ADMM in Decentralized Consensus Optimization	2014	Wei Shi Qing Ling Kun Yuan Gang Wu Wotao Yin	1
+	DSA: Decentralized Double Stochastic Averaging Gradient Algorithm	2015	Aryan Mokhtari Alejandro Ribeiro	1
+	Distributed Stochastic Variance Reduced Gradient Methods and A Lower Bound for Communication Complexity	2015	Jason D. Lee Qihang Lin Tengyu Ma Tianbao Yang	1
+	A Decentralized Second-Order Method with Exact Linear Convergence Rate for Consensus Optimization	2016	Aryan Mokhtari Wei Shi Qing Ling Alejandro Ribeiro	1
+	Federated Optimization: Distributed Machine Learning for On-Device Intelligence	2016	Jakub Konečný H. Brendan McMahan Daniel Ramage Peter Richtárik	1
+ PDF Chat	Performance limits of stochastic sub-gradient learning, part II: Multi-agent case	2017	Bicheng Ying Ali H. Sayed	1
+	Exact Diffusion for Distributed Optimization and Learning --- Part I: Algorithm Development	2017	Kun Yuan Bicheng Ying Xiaochuan Zhao Ali H. Sayed	1
+	Exact Diffusion for Distributed Optimization and Learning --- Part II: Convergence Analysis	2017	Kun Yuan Bicheng Ying Xiaochuan Zhao Ali H. Sayed	1
+	SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives	2014	Aaron Defazio Francis Bach Simon Lacoste-Julien	1
+ PDF Chat	Achieving Geometric Convergence for Distributed Optimization Over Time-Varying Graphs	2017	Angelia Nedić Alex Olshevsky Wei Shi	1
+ PDF Chat	Gossip Algorithms for Distributed Signal Processing	2010	Alexandros G. Dimakis Soummya Kar José M. F. Moura Michael Rabbat Anna Scaglione	1