PFL-LSTR: A privacy-preserving framework for driver intention inference based on in-vehicle and out-vehicle information.
Runjia DuPei LiSikai ChenSamuel LabiPublished in: CoRR (2023)
Keyphrases
- privacy preserving
- private information
- privacy concerns
- sensitive information
- personal data
- privacy preserving data mining
- multi party
- privacy preserving data mining algorithms
- information sharing
- privacy protection
- raw data
- privacy issues
- medical images
- record linkage
- privacy preservation
- privacy guarantees
- vertically partitioned data
- data management