FedConv: Enhancing Convolutional Neural Networks for Handling Data Heterogeneity in Federated Learning.
Peiran XuZeyu WangJieru MeiLiangqiong QuAlan L. YuilleCihang XieYuyin ZhouPublished in: CoRR (2023)
Keyphrases
- data sets
- distributed data
- prior knowledge
- learning process
- data sources
- data quality
- data structure
- training data
- database
- knowledge discovery
- image data
- data collection
- raw data
- convolutional neural networks
- data distribution
- background knowledge
- data processing
- learning algorithm
- small number
- high quality
- learning models
- high dimensional data
- synthetic data
- active learning
- experimental data
- xml documents
- machine learning
- distributed systems
- original data
- learning environment
- learning tasks
- supervised learning
- online learning
- data mining techniques