Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning.
Liangqiong QuYuyin ZhouPaul Pu LiangYingda XiaFeifei WangLi Fei-FeiEhsan AdeliDaniel L. RubinPublished in: CoRR (2021)
Keyphrases
- data sets
- image data
- data sources
- prior knowledge
- data analysis
- data collection
- original data
- learning systems
- distributed data
- high quality
- learning algorithm
- raw data
- data processing
- database
- synthetic data
- data quality
- sensor data
- data distribution
- background knowledge
- learning models
- learning analytics
- experimental data
- data structure
- missing data
- training data
- data mining techniques
- probability distribution
- reinforcement learning