Dynamic Pricing for Privacy-Preserving Mobile Crowdsensing: A Reinforcement Learning Approach.
Mengyuan ZhangJiming ChenLei YangJunshan ZhangPublished in: IEEE Netw. (2019)
Keyphrases
- privacy preserving
- dynamic pricing
- reinforcement learning
- privacy preserving data mining
- vertically partitioned data
- privacy preservation
- revenue management
- data privacy
- mobile devices
- supply chain management
- sensitive information
- privacy protection
- learning curve
- horizontally partitioned data
- mobile applications
- state space
- private information
- preserving privacy
- multi party
- private data
- privacy sensitive
- privacy concerns
- markov decision processes
- optimal policy
- privacy issues
- scalar product
- learning algorithm
- pricing strategies
- machine learning
- privacy requirements
- differential privacy
- decision making
- privacy guarantees
- data publishing
- homomorphic encryption
- dynamic programming
- naive bayesian classification
- production scheduling