Collaborative Sampling for Partial Multi-Dimensional Value Collection Under Local Differential Privacy-Reference-Cited by-同舟云学术

Collaborative Sampling for Partial Multi-Dimensional Value Collection Under Local Differential Privacy

Author:

Qian Qiuyu¹^ORCID,Ye Qingqing¹^ORCID,Hu Haibo¹^ORCID,Huang Kai²,Chan Tom Tak-Lam³,Li Jin⁴^ORCID

Affiliation:

1. Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hung Hom, Hong Kong

2. Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Sai Kung, Hong Kong

3. Centre for Advances in Reliability and Safety (CAiRS), Maryland, Hong Kong

4. Institute of Artificial Intelligence and Blockchain, Guangzhou University, Guangzhou, China

Funder

National Natural Science Foundation of China

Research Grants Council, Hong Kong, SAR, China

Centre for Advances in Reliability and Safety (CAiRS) admitted under AiR@InnoHK Research Cluster

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Safety, Risk, Reliability and Quality

Link

Reference49 articles.

2. Locally private hypothesis selection;gopi;Proc Conf Learn Theory,2020

4. Locally private learning without interaction requires separation;daniely;Proc Adv Neural Inf Process Syst,2019

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