Skip to main navigation
Skip to search
Skip to main content
Illinois Experts Home
LOGIN & Help
Home
Profiles
Research units
Research & Scholarship
Datasets
Honors
Press/Media
Activities
Search by expertise, name or affiliation
Distributed subgradient methods for multi-agent optimization
Angelina Nedić, Asuman Ozdaglar
Research output
:
Contribution to journal
›
Article
›
peer-review
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Distributed subgradient methods for multi-agent optimization'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Subgradient Method
100%
Distributed Subgradient Method
100%
Multi-agent Optimization
100%
Models of Computation
50%
Optimization Problem
50%
Convergence Rate
50%
Number of Iterations
50%
Information Exchange
50%
Convergence Results
50%
Distributed Computation
50%
Multiple Agents
50%
Convergence Estimates
50%
Approximate Optimal Solution
50%
Convex Objective Function
50%
Time-varying Topology
50%
Smooth Optimization
50%
Computer Science
Objective Function
100%
Convergence Rate
100%
multi agent
100%
Optimization Problem
50%
Distributed Computation
50%
Multiple Agents
50%
Mathematics
Subgradient
100%
Convergence Rate
66%
Objective Function
66%
Approximates
33%
Convergence Result
33%