Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning.
Matías MendietaTaojiannan YangPu WangMinwoo LeeZhengming DingChen ChenPublished in: CoRR (2021)
Keyphrases
- learning process
- prior knowledge
- unsupervised learning
- learning problems
- background knowledge
- learning systems
- data collection
- distributed data
- data quality
- learning tasks
- data distribution
- data sets
- data mining techniques
- supervised learning
- data sources
- learning algorithm
- online learning
- statistical analysis
- small number
- mobile learning
- image data
- xml documents
- noisy data
- reinforcement learning