A Scalable Privacy-Preserving Multi-Agent Deep Reinforcement Learning Approach for Large-Scale Peer-to-Peer Transactive Energy Trading.
Yujian YeYi TangHuiyu WangXiao-Ping ZhangGoran StrbacPublished in: IEEE Trans. Smart Grid (2021)
Keyphrases
- privacy preserving
- reinforcement learning
- multi agent
- peer to peer
- privacy preservation
- privacy preserving data mining
- vertically partitioned data
- private information
- sensitive information
- multi party
- preserving privacy
- data privacy
- real world
- sensitive data
- privacy sensitive
- record linkage
- private data
- secure multiparty computation
- distributed computing
- homomorphic encryption
- privacy issues
- differential privacy
- digital libraries
- naive bayesian classification
- horizontally partitioned
- privacy preserving association rule mining
- privacy preserving classification
- personal data
- privacy concerns
- scalar product
- privacy requirements