Multi-Agent Deep Reinforcement Learning Based Incentive Mechanism for Multi-Task Federated Edge Learning.
Nan ZhaoYiyang PeiYing-Chang LiangDusit NiyatoPublished in: IEEE Trans. Veh. Technol. (2023)
Keyphrases
- reinforcement learning
- multi task
- multi agent
- learning tasks
- multi task learning
- learning problems
- learning algorithm
- learning process
- multiple tasks
- transfer learning
- multitask learning
- supervised learning
- multi class
- sparse learning
- decision trees
- feature selection
- information systems
- learning experience
- unsupervised learning
- inductive learning
- active learning
- gaussian processes
- machine learning