Distributed Matrix Scaling and Application to Average Consensus in Directed Graphs

By Alejandro D. Domínguez-García, Christoforos N. Hadjicostis. 2013

88 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Statistical and Nonlinear Physics

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Angelia Nedić
2. Alexander Olshevsky
3. Wei Shi
4. Michael G. Rabbat
5. Ali H. Sayed
6. Wotao Yin
7. Qing Ling
8. Asuman E. Ozdaglar

In Statistical and Nonlinear Physics

1. Alexander Olshevsky
2. Angelia Nedić

Citations in the corpus

• Stochastic Gradient-Push for Strongly Convex Functions on Time-Varying Directed Graphs (2014, background): “a recent strand of the distributed optimization literature which studies effective protocols when interactions between nodes are unidirectional [6], [8], [10], [11], [36], [41].”