Privacy, accuracy, and model fairness trade-offs in federated learning.
Xiuting GuTianqing ZhuJie LiTao ZhangWei RenKim-Kwang Raymond ChooPublished in: Comput. Secur. (2022)
Keyphrases
- objective function
- trade off
- learning algorithm
- computational model
- formal model
- learning tasks
- statistical model
- privacy preserving
- learning systems
- learning models
- probabilistic model
- learning process
- high level
- high accuracy
- maximum likelihood
- reinforcement learning
- mathematical model
- information loss
- learning problems
- machine learning
- decision theoretic
- experimental data
- prediction accuracy
- knowledge acquisition
- supervised learning
- prior knowledge
- social networks