Straggler-Aware Federated Learning Based on Adaptive Clustering to Support Edge Intelligence-Reference-Cited by-同舟云学术

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Straggler-Aware Federated Learning Based on Adaptive Clustering to Support Edge Intelligence

Published:2024-06-09 Issue: Volume: Page:1867-1872
ISSN:
Container-title:ICC 2024 - IEEE International Conference on Communications
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Author:

Liu Yi-Jing¹,Feng Gang¹,Du Hongyang²,Qin Zheng¹,Sun Yao³,Kang Jiawen⁴,Niyato Dusit²

Affiliation:

1. University of Electronic Science and Technology of China,National Key Lab of Wireless Communications

2. School of Computer Science and Engineering, Nanyang Technological University

3. James Watt School of Engineering, University of Glasgow

4. School of Automation, Guangdong University of Technology

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10622104/10622158/10623049.pdf?arnumber=10623049

Reference12 articles.

1. Federated Learning in Mobile Edge Networks: A Comprehensive Survey

2. Device Association for RAN Slicing Based on Hybrid Federated Deep Reinforcement Learning

3. Energy Efficient Federated Learning Over Wireless Communication Networks

4. Accelerating Federated Learning with Cluster Construction and Hierarchical Aggregation

5. FedMDS: An Efficient Model Discrepancy-Aware Semi-Asynchronous Clustered Federated Learning Framework

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