873 citations · 1.8k across the 33 of their papers we have counts for
5 papers · 1 filter
Decentralized Quadratically Approximated Alternating Direction Method of Multipliers
Aryan Mokhtari, Wei Shi, Qing Ling +1
This paper considers an optimization problem that components of the objective function are available at different nodes of a network and nodes are allowed to only exchange informat…
DQM: Decentralized Quadratically Approximated Alternating Direction Method of Multipliers
Aryan Mokhtari, Wei Shi, Qing Ling +1
This paper considers decentralized consensus optimization problems where nodes of a network have access to different summands of a global objective function. Nodes cooperate to min…
Network Newton-Part II: Convergence Rate and Implementation
Aryan Mokhtari, Qing Ling, Alejandro Ribeiro
The use of network Newton methods for the decentralized optimization of a sum cost distributed through agents of a network is considered. Network Newton methods reinterpret distrib…
Network Newton-Part I: Algorithm and Convergence
Aryan Mokhtari, Qing Ling, Alejandro Ribeiro
We study the problem of minimizing a sum of convex objective functions where the components of the objective are available at different nodes of a network and nodes are allowed to…
Decentralized learning for wireless communications and networking
Georgios B. Giannakis, Qing Ling, Gonzalo Mateos +2
This chapter deals with decentralized learning algorithms for in-network processing of graph-valued data. A generic learning problem is formulated and recast into a separable form,…