Asynchronous Distributed Optimization Via Randomized Dual Proximal Gradient
Work
Year: 2016
Type: article
Abstract: In this paper we consider distributed optimization problems in which the cost function is separable, i.e., a sum of possibly non-smooth functions all sharing a common variable, and can be split into a... more
Institution University of Salento
Cites: 32
Cited by: 70
Related to: 10
FWCI: 6.013
Citation percentile (by year/subfield): 95.6
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Funder European Research Council