SPRITE: A Scalable Privacy-Preserving and Verifiable Collaborative Learning for Industrial IoT.
Jayasree SenguptaSushmita RujSipra Das BitPublished in: CoRR (2022)
Keyphrases
- privacy preserving
- collaborative learning
- privacy preserving data mining
- privacy preservation
- vertically partitioned data
- private information
- management system
- multi party
- sensitive information
- privacy concerns
- horizontally partitioned data
- secure multiparty computation
- privacy protection
- learning process
- record linkage
- privacy sensitive
- privacy requirements
- data perturbation
- data privacy
- data publishing
- horizontally partitioned
- cloud computing
- naive bayesian classification
- private data
- privacy preserving classification
- scalar product
- preserving privacy
- feature space
- privacy preserving association rule mining
- access control
- location information
- privacy guarantees
- privacy issues
- data quality
- data mining applications
- sensitive data