Optimizing Privacy, Utility and Efficiency in Constrained Multi-Objective Federated Learning.
Yan KangHanlin GuXingxing TangYuanqin HeYuzhu ZhangJinnan HeYuxing HanLixin FanKai ChenQiang YangPublished in: CoRR (2023)
Keyphrases
- multi objective
- learning algorithm
- supervised learning
- learning systems
- learning process
- optimization algorithm
- knowledge acquisition
- learning tasks
- active learning
- computational complexity
- objective function
- genetic algorithm
- personal information
- inductive inference
- multi objective optimization
- privacy preserving
- neural network
- unsupervised learning
- optimization problems
- digital libraries
- machine learning
- data mining