FedDRL: Deep Reinforcement Learning-based Adaptive Aggregation for Non-IID Data in Federated Learning.
Nang Hung NguyenPhi Le NguyenDuc Long NguyenTrung Thanh NguyenThuy Dung NguyenHuy Hieu PhamTruong Thao NguyenPublished in: CoRR (2022)
Keyphrases
- reinforcement learning
- data sets
- data collection
- database
- prior knowledge
- learning process
- missing data
- training data
- distributed data
- data analysis
- active learning
- data quality
- learning problems
- databases
- model free
- learning models
- learning systems
- unsupervised learning
- image data
- data processing
- input data
- knowledge discovery
- data sources
- data structure
- distributed systems
- end users
- function approximation
- xml documents
- neural network
- learning capabilities
- learned models