FedACS: an Efficient Federated Learning Method Among Multiple Medical Institutions with Adaptive Client Sampling.
Yunchao GuQuanquan HuXinliang WangZhong ZhouSixu LuPublished in: CISP-BMEI (2021)
Keyphrases
- high accuracy
- learning scheme
- classification accuracy
- learning algorithm
- unsupervised learning
- similarity measure
- objective function
- prior knowledge
- significant improvement
- dynamic programming
- computationally efficient
- em algorithm
- clustering method
- face recognition
- detection method
- learning systems
- adaptive sampling
- supervised learning
- computational cost
- cost function
- digital libraries
- decision trees