FedDRL: Deep Reinforcement Learning-based Adaptive Aggregation for Non-IID Data in Federated Learning.
Nang Hung NguyenPhi Le NguyenThuy Dung NguyenTrung Thanh NguyenDuc Long NguyenThanh Hung NguyenHuy Hieu PhamTruong Thao NguyenPublished in: ICPP (2022)
Keyphrases
- reinforcement learning
- prior knowledge
- learning algorithm
- data sources
- data collection
- data quality
- learning systems
- background knowledge
- image data
- knowledge discovery
- data analysis
- data sets
- learning process
- data structure
- training data
- adaptive learning
- learning problems
- spatial data
- distributed data
- data mining techniques
- data processing
- databases
- missing data
- online learning
- learning tasks
- database
- data points
- learning models
- high dimensional
- reinforcement learning algorithms