Distributed Learning in the Non-Convex World: From Batch to Streaming Data, and Beyond.
Tsung-Hui ChangMingyi HongHoi-To WaiXinwei ZhangSongtao LuPublished in: CoRR (2020)
Keyphrases
- streaming data
- distributed learning
- data streams
- concept drift
- sliding window
- data stream mining
- collaborative learning
- evolving data streams
- knowledge integration
- anomaly detection
- stream mining
- data distribution
- distributed learning environments
- massive data streams
- change detection
- incoming data
- machine learning
- mining data streams
- neural network
- stream data
- continuous queries
- classification algorithm
- non stationary
- data structure