FAG-scheduler: Privacy-Preserving Federated Reinforcement Learning with GRU for Production Scheduling on Automotive Manufacturing.
Jinhua ChenKeping YuJoel J. P. C. RodriguesMohsen GuizaniTakuro SatoPublished in: GLOBECOM (2023)
Keyphrases
- privacy preserving
- production scheduling
- reinforcement learning
- process planning
- manufacturing systems
- privacy preserving data mining
- vertically partitioned data
- computer aided design
- computer aided
- single machine
- privacy preservation
- private information
- data privacy
- job shop scheduling problem
- scheduling algorithm
- sensitive information
- privacy concerns
- private data
- multi party
- horizontally partitioned data
- vehicle routing
- privacy sensitive
- machine learning
- privacy protection
- differential privacy
- petri net
- dynamic programming
- sensitive data
- scalar product
- data mining
- modeling method
- benchmark problems
- data sources
- decision trees
- privacy requirements
- preserving privacy
- privacy preserving association rule mining
- database