Edge Cloud Computing and Federated–Split Learning in Internet of Things

The wide deployment of the Internet of Things (IoT) necessitates new machine learning (ML) methods and distributed computing paradigms to enable various ML-based IoT applications to effectively process huge amounts of data [...]

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Bibliographic Details
Published in:Future internet 2024-07, Vol.16 (7), p.227
Main Authors: Duan, Qiang, Lu, Zhihui
Format: Article
Language:English
Subjects:
Accuracy
Blockchain
Cloud computing
Collaborative learning
Communication
Data integrity
Distributed processing
Edge computing
Efficiency
Energy consumption
Group work in education
Internet of Things
Machine learning
n/a
Neural networks
Privacy
Simulation
Team learning approach in education
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Description
Summary:The wide deployment of the Internet of Things (IoT) necessitates new machine learning (ML) methods and distributed computing paradigms to enable various ML-based IoT applications to effectively process huge amounts of data [...]
ISSN:1999-5903
1999-5903
DOI:10.3390/fi16070227