FedNN: Federated learning on concept drift data using weight and adaptive group normalizations.
Myeongkyun KangSoopil KimKyong Hwan JinEhsan AdeliKilian M. PohlSanghyun ParkPublished in: Pattern Recognit. (2024)
Keyphrases
- data sets
- concept drift
- drifting concepts
- prior knowledge
- streaming data
- data distribution
- high quality
- learning algorithm
- database
- labelled data
- training data
- stream data
- background knowledge
- nearest neighbor
- small number
- feature extraction
- classification algorithm
- inductive learning
- k nearest neighbor
- data analysis
- batch learning