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
Decentralized nonconvex optimization with guaranteed privacy and accuracy
Yongqiang Wang,
Tamer Başar
Electrical and Computer Engineering
Coordinated Science Lab
Research output
:
Contribution to journal
›
Article
›
peer-review
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Decentralized nonconvex optimization with guaranteed privacy and accuracy'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Nonconvex Optimization
100%
Differential Privacy
75%
Privacy Protection
50%
Recent Advances
25%
Estimation Problem
25%
Numerical Experiments
25%
Challenging Problems
25%
Parameter Optimization
25%
Additive Noise
25%
Problem Analysis
25%
One-variable
25%
Local Maxima
25%
Optimization Variables
25%
Encryption
25%
International Cooperative Ataxia Rating Scale (ICARS)
25%
Non-convexity
25%
Decentralized Optimization
25%
No Result
25%
Decentralized Estimation
25%
Non-convex Learning
25%
Decentralized Learning
25%
High-dimensional Optimization
25%
Provable Convergence
25%
Privacy-by-design
25%
Large-scale Nonconvex Optimization
25%
Computer Science
Differential Privacy
100%
Privacy Protection
66%
Independent Component Analysis
33%