FedPEAT: Convergence of Federated Learning, Parameter-Efficient Fine Tuning, and Emulator Assisted Tuning for Artificial Intelligence Foundation Models with Mobile Edge Computing.
Terence Jie ChuaWenhan YuJun ZhaoKwok-Yan LamPublished in: CoRR (2023)
Keyphrases
- fine tuning
- artificial intelligence
- prior knowledge
- fine tuned
- learning systems
- learning process
- reinforcement learning
- learning models
- accurate models
- learned models
- structured prediction
- mobile learning
- mobile devices
- fine tune
- mobile users
- knowledge acquisition
- mobile phone
- online learning
- computational intelligence
- knowledge representation
- active learning
- intelligent systems
- learning tasks
- graphical models
- mobile technologies
- parameter tuning
- multiscale
- probabilistic model
- viable alternative
- learning environment
- machine learning