Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning.
Liangqiong QuYuyin ZhouPaul Pu LiangYingda XiaFeifei WangEhsan AdeliLi Fei-FeiDaniel L. RubinPublished in: CVPR (2022)
Keyphrases
- data sets
- data analysis
- database
- prior knowledge
- learning algorithm
- original data
- data structure
- missing data
- data sources
- data collection
- distributed data
- data quality
- human experts
- learning systems
- input data
- image data
- high quality
- training data
- data mining techniques
- small number
- knowledge acquisition
- computer systems
- statistical analysis
- probability distribution
- learning environment
- sensor data
- data distribution
- reinforcement learning
- raw data
- noisy data
- databases