Corpus ID: 221640840

Multi-Central Differential Privacy

@article{Steinke2020MultiCentralDP,
  title={Multi-Central Differential Privacy},
  author={T. Steinke},
  journal={ArXiv},
  year={2020},
  volume={abs/2009.05401}
}
Differential privacy is typically studied in the central model where a trusted "aggregator" holds the sensitive data of all the individuals and is responsible for protecting their privacy. A popular alternative is the local model in which the aggregator is untrusted and instead each individual is responsible for their own privacy. The decentralized privacy guarantee of the local model comes at a high price in statistical utility or computational complexity. Thus intermediate models such as the… Expand

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