Protect Trajectory Privacy in Food Delivery with Differential Privacy and Multi-agent Reinforcement Learning.
Suleiman AbahusseinTianqing ZhuDayong YeZishuo ChengWanlei ZhouPublished in: AINA (3) (2023)
Keyphrases
- differential privacy
- multi agent reinforcement learning
- differentially private
- privacy preserving
- private data
- privacy guarantees
- privacy protection
- privacy preservation
- privacy preserving data mining algorithms
- multi agent
- learning agents
- data sharing
- anonymized data
- tabular data
- data privacy
- personal information
- multi agent learning
- reinforcement learning
- preserving privacy
- multi agent systems
- privacy preserving data mining
- stochastic games
- data protection
- sensitive information
- learning algorithm
- individual privacy
- distributed control
- data warehouse
- multiagent systems
- distributed data
- machine learning