Skip to main navigation
Skip to search
Skip to main content
Princeton University Home
Help & FAQ
Home
Profiles
Research units
Facilities
Projects
Research output
Press/Media
Search by expertise, name or affiliation
Toward Self-Learning Edge Intelligence in 6G
Yong Xiao
, Guangming Shi
, Yingyu Li
, Walid Saad
,
H. Vincent Poor
Electrical and Computer Engineering
Center for Statistics & Machine Learning
High Meadows Environmental Institute
NextG
Research output
:
Contribution to journal
›
Article
›
peer-review
143
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Toward Self-Learning Edge Intelligence in 6G'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Computer Science
5G
66%
Artificial Intelligence
100%
Cellular System
33%
Communication Network
33%
Connected System
33%
Edge Computing
33%
Edge Intelligence
100%
Key Requirement
33%
Multi-Access Edge Computing
33%
Performance Improvement
33%
Research Problem
33%
Keyphrases
Data Synthesizing
33%
Edge-native
66%
Missing Components
33%
Shuttle Systems
33%