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Federated Learning in UAV-Assisted MEC Systems: A Comprehensive Survey
Youssra Cheriguene
,
Wael Jaafar
, Halim Yanikomeroglu
École de technologie supérieure
Software and Information Technology Engineering Department
LACIME - Communications and Microelectronics Integration Laboratory
LASI - Computer systems architecture laboratory
University of Laghouat
Carleton University
Research output
:
Contribution to journal
›
Journal Article
›
peer-review
3
Citations (Scopus)
Overview
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Dive into the research topics of 'Federated Learning in UAV-Assisted MEC Systems: A Comprehensive Survey'. Together they form a unique fingerprint.
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Computer Science
Multi-Access Edge Computing
100%
Federated machine learning
100%
Machine Learning
33%
Learning System
33%
Data Processing
33%
Computing Platform
16%
Wireless Network
16%
Decision-Making
16%
Data Source
16%
Big Data
16%
data-intensive application
16%
Artificial Intelligence
16%
Machine Learning Approach
16%
Research Direction
16%
Training Model
16%
Decentralized Machine Learning
16%
Machine Learning Model
16%
Keyphrases
Planning Responses
14%
Transformative Paradigm
14%
Ubiquitous Data
14%
Urban Emergency
14%