Layer-Wise Personalized Federated Learning for Mobile Traffic Prediction-Reference-Cited by-同舟云学术

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Layer-Wise Personalized Federated Learning for Mobile Traffic Prediction

Published:2024 Issue: Volume:12 Page:53126-53140
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Lee Seungyeol¹^ORCID,Sung Jihoon²,Shin Myung-Ki²^ORCID

Affiliation:

1. Department of Information and Communication Engineering, University of Science and Technology, Daejeon, Republic of Korea

2. Standard and Open Source Research Division, Electronics and Telecommunications Research Institute, Daejeon, Republic of Korea

Funder

Ministry of Science and ICT, South Korea

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10489944.pdf?arnumber=10489944

Reference29 articles.

1. What should 6G be?

2. A Vision of 6G Wireless Systems: Applications, Trends, Technologies, and Open Research Problems

3. Deep Learning in Mobile and Wireless Networking: A Survey

4. Spatio-Temporal Wireless Traffic Prediction With Recurrent Neural Network

5. Citywide Cellular Traffic Prediction Based on Densely Connected Convolutional Neural Networks

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. A Multifaceted Survey on Federated Learning: Fundamentals, Paradigm Shifts, Practical Issues, Recent Developments, Partnerships, Trade-Offs, Trustworthiness, and Ways Forward;IEEE Access;2024

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