Arbitrarily strong utility-privacy tradeoff in multi-agent systems

• Main Authors: Wang, Chong Xiao, Song, Yang, Tay, Wee Peng
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2021
• Subjects: Engineering; Inference Privacy; Cramér-Rao Lower Bound
• Online Access: https://hdl.handle.net/10356/146327
• Institution: Nanyang Technological University

Each agent in a network makes a local observation that is linearly related to a set of public and private parameters. The agents send their observations to a fusion center to allow it to estimate the public parameters. To prevent leakage of the private parameters, each agent first sanitizes its loca...