Privacy-Preserving Edge Intelligence: A Perspective of Constrained Bandits

doi:10.1109/WCNC57260.2024.10570929

	Privacy-Preserving Edge Intelligence: A Perspective of Constrained Bandits
	Tianyi Zhang; Shangshang Wang; YInxv Tang; Ziyu Shao; Yang Yang
	2024
会议录名称	IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE
ISSN	1525-3511
发表状态	已发表
DOI	10.1109/WCNC57260.2024.10570929
摘要	Advanced edge systems have brought intelligence to networked end devices at the network edge. In such systems, privacy preservation has been an integral role since users' privacy may be violated via edge-device interaction given unsafe decision-making on information sharing. Therefore, we in this paper study privacy preservation for decision-making under bandit models. Particularly, a canonical bandit model features an agent that aims to maximize attainable rewards based on feedback from arm selection. However, upon application in edge systems, such feedback becomes more complex given 1) privacy concern and 2) non-negligible cost feedback. Confronting such concerns during decision-making, we study a privacy-preserving constrained bandit variant where we face the challenge of guaranteeing privacy preservation and within-budget cost while striving for high rewards. In this paper, we address the challenge with an integration of local differential privacy mechanism, online control, and online learning. Theoretically, we prove that our algorithm maintains adjustable privacy, adheres to cost constraints, and achieves a sub-linear regret (i.e., loss of reward). Numerically, we conduct simulations to demonstrate the outperformance of our algorithm over baselines.
会议举办国	中国
关键词	Budget control Decision making Privacy-preserving techniques Decisions makings Edge intelligence End-devices Information sharing Modeling features Network edges Privacy concerns Privacy preservation Privacy preserving User privacy
会议名称	25th IEEE Wireless Communications and Networking Conference, WCNC 2024
会议地点	Dubai, United Arab Emirates
会议日期	21-24 April 2024
URL	查看原文
收录类别	EI
语种	英语
出版者	Institute of Electrical and Electronics Engineers Inc.
EI入藏号	20242916728872
EI主题词	Feedback
EI分类号	716 Telecommunication ; Radar, Radio and Television ; 718 Telephone Systems and Related Technologies ; Line Communications ; 723.2 Data Processing and Image Processing ; 731.1 Control Systems ; 912.2 Management
原始文献类型	Conference article (CA)
来源库	IEEE
文献类型	会议论文
条目标识符	https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/350289
专题	信息科学与技术学院_PI研究组_邵子瑜组信息科学与技术学院_硕士生
通讯作者	Ziyu Shao
作者单位	ShanghaiTech University, Shanghai, China
通讯作者单位	上海科技大学
推荐引用方式 GB/T 7714	Tianyi Zhang,Shangshang Wang,YInxv Tang,et al. Privacy-Preserving Edge Intelligence: A Perspective of Constrained Bandits[C]:Institute of Electrical and Electronics Engineers Inc.,2024.