Learning for Crowdsourcing: Online Dispatch for Video Analytics with Guarantee
Author:
Affiliation:
1. Nanjing University,State Key Lab. for Novel Software Technology,P.R. China
2. University of Science and Technology of China,School of Computer Science and Technology / Suzhou Institute for Advanced Study,P.R. China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9796607/9796652/09796960.pdf?arnumber=9796960
Reference49 articles.
1. Heterogeneous Edge Offloading With Incomplete Information: A Minority Game Approach
2. Multi-user Edge-assisted Video Analytics Task Offloading Game based on Deep Reinforcement Learning
3. Differentially private unknown worker recruitment for mobile crowdsensing using multi-armed bandits;zhao;IEEE TMC,2020
4. Task Recommendation in Crowdsourcing Based on Learning Preferences and Reliabilities
5. Online Task Scheduling With Workers Variabilities in Crowdsourcing
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3. MACRO: Incentivizing Multi-Leader Game-Based Pareto-Efficient Crowdsourcing for Video Analytics;2024 IEEE 40th International Conference on Data Engineering (ICDE);2024-05-13
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