FedSelect: Customized Selection of Parameters for Fine-Tuning during Personalized Federated Learning.
Rishub TamirisaJohn WonChengjun LuRon ArelAndy ZhouPublished in: CoRR (2023)
Keyphrases
- fine tuning
- fine tuned
- fine tune
- learning process
- learning algorithm
- viable alternative
- adaptive learning
- digital libraries
- learning systems
- mobile learning
- supervised learning
- neural network
- distributed systems
- online learning
- parameter estimation
- student learning
- parameter values
- learning scheme
- user modeling
- decision trees
- e learning