Semi-Supervised Federated Learning with non-IID Data: Algorithm and System Design.
Zhe ZhangShiyao MaJiangtian NieYi WuQiang YanXiaoke XuDusit NiyatoPublished in: HPCC/DSS/SmartCity/DependSys (2021)
Keyphrases
- learning algorithm
- input data
- semi supervised
- learned models
- data sources
- noisy data
- active learning
- preprocessing
- prior knowledge
- supervised learning
- learning models
- labeled data
- learning phase
- incremental learning
- data points
- dynamic programming
- data sets
- unlabeled data
- k means
- search space
- np hard
- data analysis
- bayesian methods
- objective function
- training data
- multi view
- learning tasks
- labeled and unlabeled data
- detection algorithm
- data distribution
- background knowledge
- subspace learning
- semi supervised clustering
- transfer learning
- high dimensional data
- training examples
- segmentation algorithm
- unsupervised learning
- evolutionary algorithm
- learning process
- computational complexity
- data structure
- optimal solution
- reinforcement learning
- similarity measure
- image segmentation
- neural network