Navigating Data Heterogeneity in Federated Learning: A Semi-Supervised Approach for Object Detection.
Taehyeon KimEric LinJunu LeeChristian LauVaikkunth MugunthanPublished in: NeurIPS (2023)
Keyphrases
- data sets
- semi supervised
- prior knowledge
- data collection
- supervised learning
- data analysis
- learning process
- object detection
- learning models
- raw data
- training data
- high quality
- data distribution
- labeled data
- data sources
- data points
- image data
- learning algorithm
- database
- machine learning
- data processing
- original data
- human experts
- digital libraries
- background knowledge
- labeled and unlabeled data
- knowledge discovery
- co training
- decision trees
- learning tasks
- learning systems
- synthetic data
- high dimensional data
- semi supervised learning
- databases
- data model
- distributed systems
- active learning
- end users