362 citations · 2.5k across the 76 of their papers we have counts for
6 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…
A Class of Prediction-Correction Methods for Time-Varying Convex Optimization
Andrea Simonetto, Aryan Mokhtari, Alec Koppel +2
This paper considers unconstrained convex optimization problems with time-varying objective functions. We propose algorithms with a discrete time-sampling scheme to find and track…
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…
DSA: Decentralized Double Stochastic Averaging Gradient Algorithm
Aryan Mokhtari, Alejandro Ribeiro
This paper considers convex optimization problems where nodes of a network have access to summands of a global objective. Each of these local objectives is further assumed to be an…
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…