Edge Learning for Large-Scale Internet of Things With Task-Oriented Efficient Communication-Reference-Cited by-同舟云学术

Edge Learning for Large-Scale Internet of Things With Task-Oriented Efficient Communication

Published:2023-12 Issue:12 Volume:22 Page:9517-9532
ISSN:1536-1276
Container-title:IEEE Transactions on Wireless Communications
language:
Short-container-title:IEEE Trans. Wireless Commun.

Author:

Xie Haihui¹^ORCID,Xia Minghua¹^ORCID,Wu Peiran¹^ORCID,Wang Shuai²^ORCID,Poor H. Vincent³^ORCID

Affiliation:

1. School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China

2. Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China

3. Department of Electrical and Computer Engineering, Princeton University, Princeton, NJ, USA

Funder

National Natural Science Foundation of China

Guangdong Basic and Applied Basic Research Project

U.S. National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications

Link

https://ieeexplore.ieee.org/ielam/7693/10354275/10120724-aam.pdf

Reference35 articles.

1. Adaptive Federated Learning in Resource Constrained Edge Computing Systems

2. Toward Massive Machine Type Cellular Communications

3. Toward an Intelligent Edge: Wireless Communication Meets Machine Learning

4. Edge Intelligence: The Confluence of Edge Computing and Artificial Intelligence

5. Communication-efficient federated learning

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