Online Crowd Learning Through Strategic Worker Reports-Reference-Cited by-同舟云学术

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Online Crowd Learning Through Strategic Worker Reports

Published:2022 Issue: Volume: Page:1-1
ISSN:1536-1233
Container-title:IEEE Transactions on Mobile Computing
language:
Short-container-title:IEEE Trans. on Mobile Comput.

Author:

Huang Chao¹,Yu Haoran²,Huang Jianwei³,Berry Randall⁴

Affiliation:

1. Information Engineering, The Chinese University of Hong Kong, 26451 Shatin, NT, Hong Kong

2. School of Computer Science, Beijing Institute of Technology, 47833 Beijing, Beijing, China

3. School of Science and Engineering, The Chinese University of Hong Kong - Shenzhen, 407605 Shenzhen, Guangdong, China, 518172

4. ECE, Northwestern University, 3270 Evanston, Illinois, United States

Funder

Shenzhen Institute of Artificial Intelligence and Robotics for Society

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Software

Link

http://xplorestaging.ieee.org/ielx7/7755/4358975/09771311.pdf?arnumber=9771311

Cited by 3 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. When Federated Learning Meets Oligopoly Competition: Stability and Model Differentiation;IEEE Internet of Things Journal;2024-08-15

2. Information Elicitation from Decentralized Crowd Without Verification;2023 21st International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt);2023-08-24

3. Incentive Mechanism Design for Mobile Crowdsourcing Without Verification;Wireless Networks;2012-02-24

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