HierFedML: Aggregator Placement and UE Assignment for Hierarchical Federated Learning in Mobile Edge Computing-Reference-Cited by-同舟云学术

HierFedML: Aggregator Placement and UE Assignment for Hierarchical Federated Learning in Mobile Edge Computing

Published:2023-01-01 Issue:1 Volume:34 Page:328-345
ISSN:1045-9219
Container-title:IEEE Transactions on Parallel and Distributed Systems
language:
Short-container-title:IEEE Trans. Parallel Distrib. Syst.

Author:

Xu Zichuan¹^ORCID,Zhao Dapeng¹,Liang Weifa²^ORCID,Rana Omer F.³^ORCID,Zhou Pan⁴^ORCID,Li Mingchu¹^ORCID,Xu Wenzheng⁵^ORCID,Li Hao⁶,Xia Qiufen⁷^ORCID

Affiliation:

1. Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province, School of Software, Dalian University of Technology, Dalian, Liaoning, China

2. Department of Computer Science, City University of Hong Kong, Hong Kong

3. Physical Sciences and Engineering College, Cardiff University, Cardiff, U.K.

4. Hubei Key Laboratory of Distributed System Security, Hubei Engineering Research Center on Big Data Security, School of Cyber Science and Engineering, Huazhong University of Science and Technology, Wuhan, Hubei, China

5. Department of Computer Science, Sichuan University, Chengdu, Sichuan, China

6. Ningxia Research Institute, China Coal Research Institute, Beijing, China

7. Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province, the International School of Information Science & Engineering, Dalian University of Technology, Dalian, Liaoning, China

Funder

National Natural Science Foundation of China

Xinghai scholar

City University of Hong Kong

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Hardware and Architecture,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/71/9956797/09935309.pdf?arnumber=9935309

Reference63 articles.

1. Federated Learning over Wireless Networks: Optimization Model Design and Analysis

2. Introduction to Multi-Armed Bandits

3. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

4. Adaptive federated optimization;reddi,0

5. Privacy-aware service placement for mobile edge computing via federated learning

Cited by 17 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. Inference Load-Aware Orchestration for Hierarchical Federated Learning;2024 IEEE 49th Conference on Local Computer Networks (LCN);2024-10-08

2. Scalable Hierarchical Over-the-Air Federated Learning;IEEE Transactions on Wireless Communications;2024-08

3. Explainable AI Empowered Resource Management for Enhanced Communication Efficiency in Hierarchical Federated Learning;Computers and Electrical Engineering;2024-07

4. DESIGN: Online Device Selection and Edge Association for Federated Synergy Learning-enabled AIoT;ACM Transactions on Intelligent Systems and Technology;2024-06-15

5. Edge-to-Cloud Federated Learning with Resource-Aware Model Aggregation in MEC;2024 IEEE International Conference on Communications Workshops (ICC Workshops);2024-06-09