Padé approximant meets federated learning: A nearly lossless, one-shot algorithm for evidence synthesis in distributed research networks with rare outcomes.
Qiong WuMartijn J. SchuemieMarc A. SuchardPatrick B. RyanGeorge HripcsakCharles A. RohdeYong ChenPublished in: J. Biomed. Informatics (2023)
Keyphrases
- learning algorithm
- digital libraries
- preprocessing
- detection algorithm
- computational complexity
- significant improvement
- objective function
- matching algorithm
- cost function
- np hard
- learning speed
- learning rules
- incremental learning
- optimization algorithm
- expectation maximization
- worst case
- k means
- complex networks
- neural network
- learning phase
- computer networks
- dynamic programming
- optimal solution
- search space
- segmentation algorithm
- learning process
- probabilistic model
- multi agent
- distributed environment
- reinforcement learning
- social networks
- learned models
- distributed learning