QC-ODKLA: Quantized and Communication-Censored Online Decentralized Kernel Learning via Linearized ADMM-Reference-Cited by-同舟云学术

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QC-ODKLA: Quantized and Communication-Censored Online Decentralized Kernel Learning via Linearized ADMM

Published:2023 Issue: Volume: Page:1-13
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Xu Ping¹^ORCID,Wang Yue²^ORCID,Chen Xiang³^ORCID,Tian Zhi³^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, The University of Texas Rio Grande Valley, Edinburg, TX, USA

2. Department of Computer Science, Georgia State University, Atlanta, GA, USA

3. Department of Electrical and Computer Engineering, George Mason University, Fairfax, VA, USA

Funder

National Science Foundation of the U

Virginia Research Investment Fund through Commonwealth Cyber Initiative

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Software

Link

http://xplorestaging.ieee.org/ielx7/5962385/6104215/10250874.pdf?arnumber=10250874

Cited by 2 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. Communication-Efficient Decentralized Dynamic Kernel Learning;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

2. Distributed Swarm Learning for Edge Internet of Things;IEEE Communications Magazine;2024

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