CPPer-FL: Clustered Parallel Training for Efficient Personalized Federated Learning-Reference-Cited by-同舟云学术

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CPPer-FL: Clustered Parallel Training for Efficient Personalized Federated Learning

Published:2024-10 Issue:10 Volume:23 Page:9424-9436
ISSN:1536-1233
Container-title:IEEE Transactions on Mobile Computing
language:
Short-container-title:IEEE Trans. on Mobile Comput.

Author:

Zhang Ran¹^ORCID,Liu Fangqi¹^ORCID,Liu Jiang¹^ORCID,Chen Mingzhe²^ORCID,Tang Qinqin¹^ORCID,Huang Tao¹^ORCID,Yu F. Richard³^ORCID

Affiliation:

1. State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China

2. Department of Electrical and Computer Engineering, Institute for Data Science and Computing, University of Miami, Coral Gables, FL, USA

3. Department of Systems and Computer Engineering, Carleton University, Ottawa, ON, Canada

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7755/10663873/10438400.pdf?arnumber=10438400

Reference41 articles.

1. Communication-efficient learning of deep networks from decentralized data;McMahan

2. Personalized federated learning: A meta-learning approach;Fallah,2020

3. Buffer-Aware Virtual Reality Video Streaming With Personalized and Private Viewport Prediction

4. Partial Synchronization to Accelerate Federated Learning over Relay-Assisted Edge Networks

5. Secure and Efficient Federated Learning for Smart Grid With Edge-Cloud Collaboration

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. Joint Optimization of Charging Time and Resource Allocation in Wireless Power Transfer Assisted Federated Learning;IEEE INFOCOM 2024 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS);2024-05-20

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