Title
Distributed Partitioned Big-Data Optimization via Asynchronous Dual Decomposition.
Abstract
In this paper, we consider a novel partitioned framework for distributed optimization in peer-to-peer networks. In several important applications, the agents of a network have to solve an optimization problem with two key features: i) the dimension of the decision variable depends on the network size, and ii) cost function and constraints have a sparsity structure related to the communication grap...
Year
DOI
Venue
2018
10.1109/TCNS.2017.2774010
IEEE Transactions on Control of Network Systems
Keywords
DocType
Volume
Optimization,Distributed algorithms,Peer-to-peer computing,Partitioning algorithms,Convex functions,Optimization
Journal
5
Issue
ISSN
Citations 
4
2325-5870
2
PageRank 
References 
Authors
0.37
0
3
Name
Order
Citations
PageRank
ivano notarnicola1356.94
Ruggero Carli289469.17
Giuseppe Notarstefano347042.83