A Crowdsourced Learning Framework to Optimize Cross-Event QoS in AI-powered Social Sensing

Yang Zhang; Ruohan Zong; Lanyu Shang; Huimin Zeng; Zhenrui Yue; Dong Wang

doi:10.1109/SECON58729.2023.10287448

A Crowdsourced Learning Framework to Optimize Cross-Event QoS in AI-powered Social Sensing

Yang Zhang
, Ruohan Zong
, Lanyu Shang
, Huimin Zeng
, Zhenrui Yue
, Dong Wang

Computer Science

University of Illinois

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	2023 20th Annual Ieee International Conference On Sensing, Communication, And Networking, Secon
Number of pages	9
DOIs	https://doi.org/10.1109/SECON58729.2023.10287448
State	Published - 2023

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10.1109/SECON58729.2023.10287448

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title = "A Crowdsourced Learning Framework to Optimize Cross-Event QoS in AI-powered Social Sensing",

author = "Yang Zhang and Ruohan Zong and Lanyu Shang and Huimin Zeng and Zhenrui Yue and Dong Wang",

year = "2023",

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language = "English",

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T1 - A Crowdsourced Learning Framework to Optimize Cross-Event QoS in AI-powered Social Sensing

AU - Zhang, Yang

AU - Zong, Ruohan

AU - Shang, Lanyu

AU - Zeng, Huimin

AU - Yue, Zhenrui

AU - Wang, Dong

PY - 2023

Y1 - 2023

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U2 - 10.1109/SECON58729.2023.10287448

DO - 10.1109/SECON58729.2023.10287448

M3 - Conference contribution

BT - 2023 20th Annual Ieee International Conference On Sensing, Communication, And Networking, Secon

ER -

A Crowdsourced Learning Framework to Optimize Cross-Event QoS in AI-powered Social Sensing

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