Intelligent Edge Learning for Personalized Crowdsourced Livecast: Challenges, Opportunities, and Solutions-Reference-Cited by-同舟云学术

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Intelligent Edge Learning for Personalized Crowdsourced Livecast: Challenges, Opportunities, and Solutions

Published:2021-01 Issue:1 Volume:35 Page:170-176
ISSN:0890-8044
Container-title:IEEE Network
language:
Short-container-title:IEEE Network

Author:

Wang Fangxin,Liu Jiangchuan,Zhang Cong,Sun Lifeng,Hwang Kai

Funder

National Natural Science Foundation of China

NSFC

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Hardware and Architecture,Information Systems,Software

Link

http://xplorestaging.ieee.org/ielx7/65/9354913/09355041.pdf?arnumber=9355041

Cited by 13 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. Seer: Proactive Revenue-Aware Scheduling for Live Streaming Services in Crowdsourced Cloud-Edge Platforms;IEEE INFOCOM 2024 - IEEE Conference on Computer Communications;2024-05-20

2. The application value of behavior analysis based on deep learning in the evaluation of depression in art students;Applied Mathematics and Nonlinear Sciences;2024-01-01

3. Improving Personalized Federated Learning-based QoE Assessment using Clustering;2023 14th International Conference on Information and Knowledge Technology (IKT);2023-12-26

4. RL-CEALS: Reinforcement Learning for Collaborative Edge Assisted Live Streaming;2023 IEEE Symposium on Computers and Communications (ISCC);2023-07-09

5. BC-MetaCast: A Blockchain-Enhanced Intelligent Computing Framework for Metaverse Livecast;IEEE Network;2023-07

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