Joint Dynamic Grouping and Gradient Coding for Time-Critical Distributed Machine Learning in Heterogeneous Edge Networks.
Yingchi MaoJun WuXiaoming HePing PingJiajun WangJie WuPublished in: IEEE Internet Things J. (2022)
Keyphrases
- machine learning
- heterogeneous networks
- edge detection
- distributed information systems
- computer networks
- multi agent
- loosely coupled
- heterogeneous data
- dynamic networks
- distributed systems
- distributed data
- dynamic environments
- cooperative
- coding scheme
- distributed environment
- pervasive environments
- peer to peer networks
- highly dynamic
- gradient magnitude
- multiple autonomous
- transparent access
- edge information
- data mining
- decision trees
- heterogeneous databases
- machine learning methods
- scale space
- feature selection
- social networks
- distributed data sources
- learning algorithm
- structured peer to peer