Abstract | ||
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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 |
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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 notarnicola | 1 | 35 | 6.94 |
Ruggero Carli | 2 | 894 | 69.17 |
Giuseppe Notarstefano | 3 | 470 | 42.83 |