Reciprocal Federated Learning Framework: Balancing incentives for model and data owners.
Han XuPriyadarsi NandaJie LiangPublished in: Future Gener. Comput. Syst. (2024)
Keyphrases
- prior knowledge
- learning process
- learning scheme
- probabilistic model
- computational model
- formal model
- conceptual framework
- modeling framework
- theoretical framework
- learning mechanism
- parameter estimation
- dynamic bayesian networks
- decision model
- learning phase
- machine learning
- generic model
- inference process
- theoretical foundation
- conceptual model
- experimental data
- supervised learning
- management system
- similarity measure
- learning algorithm
- neural network
- learning models
- inductive inference
- probability distribution
- objective function
- mathematical framework
- unified model