"Reconciling privacy and utility: an unscented Kalman filter-based ..."

Kunsheng Tang et al. (2023)

> Home

Details and statistics

DOI: 10.1007/S10994-022-06279-5

access: closed

type: Journal Article

metadata version: 2023-10-24

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/ml/TangLSL23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/ml/TangLSL23
Kunsheng Tang, Ping Li, Yide Song, Tian Luo:
Reconciling privacy and utility: an unscented Kalman filter-based framework for differentially private machine learning. Mach. Learn. 112(1): 311-351 (2023)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.