Private Edge Computing Resource Allocation and Communication Optimization Based on Federated Learning-Reference-Cited by-同舟云学术

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Private Edge Computing Resource Allocation and Communication Optimization Based on Federated Learning

Published:2024-06-03 Issue: Volume:54 Page:601-606
ISSN:
Container-title:2024 IFIP Networking Conference (IFIP Networking)
language:
Short-container-title:

Author:

Xiao Ke¹,Wang Jiaxin¹,Li Chaofei²,Yu Zhenwei¹,Gao Feifei³

Affiliation:

1. School of Information Science and Technology, North China University of Technology,Beijing,China,100144

2. Institute of Information Engineering, Chinese Academy of Sciences,Beijing,China,100085

3. Tsinghua University,Department of Automation,Beijing,China

Funder

Beijing Municipal Natural Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10619708/10619055/10619751.pdf?arnumber=10619751

Reference16 articles.

1. Enabling Massive IoT Toward 6G: A Comprehensive Survey

2. Edge Computing: Vision and Challenges

3. Design of a Machine Learning-Based Intelligent Middleware Platform for a Heterogeneous Private Edge Cloud System

4. Design of a Machine Learning-Based Intelligent Middleware Platform for a Heterogeneous Private Edge Cloud System

5. Communication-Efficient Learning of Deep Networks from Decentralized Data;McMahan

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