A mechanism design approach for multi-party machine learning.
Mengjing ChenYang LiuWeiran ShenYiheng ShenPingzhong TangQiang YangPublished in: Theor. Comput. Sci. (2024)
Keyphrases
- mechanism design
- multi party
- machine learning
- privacy preserving
- game theory
- negotiation mechanism
- incomplete information
- incentive compatible
- multiagent planning
- approximately optimal
- cooperative game theory
- prediction markets
- description language
- combinatorial auctions
- artificial intelligence
- explanation based learning
- double auction
- expert systems
- auction mechanisms
- mental states
- learning algorithm
- kernel methods
- cooperative
- meeting scheduling
- reinforcement learning