Federated machine learning for privacy preserving, collective supply chain risk prediction.
Ge ZhengLingxuan KongAlexandra BrintrupPublished in: Int. J. Prod. Res. (2023)
Keyphrases
- privacy preserving
- supply chain
- machine learning
- supply chain management
- privacy preserving data mining
- decision making
- bullwhip effect
- privacy preservation
- sensitive information
- multi party
- vertically partitioned data
- horizontally partitioned data
- cost savings
- quantity discount
- lead time
- private information
- service level
- privacy concerns
- data privacy
- privacy protection
- privacy sensitive
- inventory control
- data mining
- reinforcement learning
- supplier selection
- sensitive data
- decision trees
- privacy issues
- rfid technology
- secure multiparty computation
- privacy guarantees
- differential privacy
- stackelberg game
- scalar product
- risk management
- revenue sharing
- knowledge discovery