Attention-aided Federated Learning for Dependency-Aware Collaborative Task Allocation in Edge-Assisted Smart Grid Scenarios-Reference-Cited by-同舟云学术

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Attention-aided Federated Learning for Dependency-Aware Collaborative Task Allocation in Edge-Assisted Smart Grid Scenarios

Published:2022-08-11 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE/CIC International Conference on Communications in China (ICCC)
language:
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Author:

Wang Chenyang¹,Jia Bosen²,Yu Hao³,Chen Liandong⁴,Cheng Kai⁴,Wang Xiaofei¹

Affiliation:

1. College of Intelligence and Computing, Tianjin University,Tianjin,China

2. Tianjin International Engineering Institute, Tianjin University,Tianjin,China

3. Information Technology and Electrical Engineering, University of Oulu,Oulu,Finland

4. Information & Telecommunication Branch, State Grid HeBei Electric Power Company,Shijiazhuang,China

Funder

Chinese Government Scholarship

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9880588/9880614/09880777.pdf?arnumber=9880777

Reference16 articles.

1. DIMA: Distributed cooperative microservice caching for internet of things in edge computing by deep reinforcement learning

2. Offloading Tasks With Dependency and Service Caching in Mobile Edge Computing

3. A Survey on Mobile Edge Computing: The Communication Perspective

4. Multi-task offloading strategy optimization based on directed acyclic graphs for edge computing;chen;IEEE Internet of Things Journal 2021,0

5. Hierarchical Edge Caching in Device-to-Device Aided Mobile Networks: Modeling, Optimization, and Design

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Task Allocation Methods and Optimization Techniques in Edge Computing: A Systematic Review of the Literature;Future Internet;2023-07-28

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