7 citations · 14 across the 4 of their papers we have counts for
4 papers · 1 filter
FlexPD: A Flexible Framework Of First-Order Primal-Dual Algorithms for Distributed Optimization
Fatemeh Mansoori, Ermin Wei
In this paper, we study the problem of minimizing a sum of convex objective functions, which are locally available to agents in a network. Distributed optimization algorithms make…
A General Framework of Exact Primal-Dual First Order Algorithms for Distributed Optimization
Fatemeh Mansoori, Ermin Wei
We study the problem of minimizing a sum of local objective convex functions over a network of processors/agents. This problem naturally calls for distributed optimization algorith…
A Fast Distributed Asynchronous Newton-Based Optimization Algorithm
Fatemeh Mansoori, Ermin Wei
One of the most important problems in the field of distributed optimization is the problem of minimizing a sum of local convex objective functions over a networked system. Most of…
Superlinearly Convergent Asynchronous Distributed Network Newton Method
Fatemeh Mansoori, Ermin Wei
The problem of minimizing a sum of local convex objective functions over a networked system captures many important applications and has received much attention in the distributed…