Distributed Optimal Power Scheduling for Microgrid System via Deep Reinforcement Learning with Privacy Preserving.
Tong HeXiang WuHui DongFanghong GuoWei YuPublished in: ICCA (2022)
Keyphrases
- privacy preserving
- horizontally partitioned data
- horizontally partitioned
- reinforcement learning
- multi party
- partitioned data
- distributed data mining
- privacy sensitive
- privacy preserving data mining
- privacy preservation
- data privacy
- private information
- secure multiparty computation
- vertically partitioned data
- private data
- distributed systems
- privacy preserving classification
- sensitive information
- preserving privacy
- differential privacy
- machine learning
- record linkage
- privacy protection
- privacy issues
- privacy concerns
- distributed environment
- data publishing
- differentially private
- data perturbation
- sensitive data
- scalar product
- peer to peer
- privacy preserving association rule mining
- personal data
- naive bayesian classification
- information systems