Lightweight Federated Graph Learning for Accelerating Classification Inference in UAV-Assisted MEC Systems-Reference-Cited by-同舟云学术

Lightweight Federated Graph Learning for Accelerating Classification Inference in UAV-Assisted MEC Systems

Published:2024-06-15 Issue:12 Volume:11 Page:21180-21190
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Zhong Luying¹^ORCID,Chen Zheyi¹^ORCID,Cheng Hongju¹^ORCID,Li Jie²^ORCID

Affiliation:

1. College of Computer and Data Science, the Engineering Research Center of Big Data Intelligence, Ministry of Education, and the Fujian Key Laboratory of Network Computing and Intelligent Information Processing, Fuzhou University, Fuzhou, China

2. Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China

Funder

National Natural Science Foundation of China

Central Funds Guiding the Local Science and Technology Development

Fujian Province Technology and Economy Integration Service Platform

Fuzhou–Xiamen–Quanzhou National Independent Innovation Demonstration Zone Collaborative Innovation Platform

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6488907/10551641/10433561.pdf?arnumber=10433561

Reference40 articles.

1. Graph Learning: A Survey

2. Over-the-Air Federated Transfer Learning Over UAV Swarm for Automatic Modulation Recognition in V2X Radio Monitoring

3. Multiagent Federated Reinforcement Learning for Resource Allocation in UAV-Enabled Internet of Medical Things Networks

4. Federated Learning and Autonomous UAVs for Hazardous Zone Detection and AQI Prediction in IoT Environment

5. Intelligent Offloading in Blockchain-Based Mobile Crowdsensing Using Deep Reinforcement Learning

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