A Fair and Efficient Hybrid Federated Learning Framework based on XGBoost for Distributed Power Prediction.
Haizhou LiuXuan ZhangXinwei ShenHongbin SunPublished in: CoRR (2022)
Keyphrases
- distributed learning
- learning process
- lightweight
- learning algorithm
- hybrid learning
- main contribution
- learning scheme
- prior knowledge
- probabilistic model
- learning frameworks
- learning mechanism
- multi agent systems
- distributed environment
- prediction accuracy
- knowledge acquisition
- online learning
- active learning
- neural network
- theoretical framework
- learning analytics
- conceptual framework
- multi task
- digital libraries
- inductive inference
- dynamic bayesian networks
- distributed systems
- cooperative