FedSynth: Gradient Compression via Synthetic Data in Federated Learning.
Shengyuan HuJack GoetzKshitiz MalikHongyuan ZhanZhe LiuYue LiuPublished in: CoRR (2022)
Keyphrases
- synthetic data
- data sets
- supervised learning
- learning tasks
- knowledge acquisition
- data compression
- prior knowledge
- online learning
- mri data
- learning systems
- real world
- learning algorithm
- image compression
- learning process
- reinforcement learning
- database
- active learning
- digital libraries
- mobile learning
- coding scheme
- image segmentation
- learning problems
- learning scenarios
- case study
- metadata