TensAIR: Online Learning from Data Streams via Asynchronous Iterative Routing. (arXiv:2211.10280v1 [cs.LG])

Online learning (OL) from data streams is an emerging area of research that
encompasses numerous challenges from stream processing, machine learning, and
networking. Recent extensions of stream-processing platforms, such as Apache
Kafka and Flink, already provide basic extensions for the training of neural
networks in a stream-processing pipeline. However, these extensions are not
scalable and flexible enough for many real-world use-cases, since they do not
integrate the neural-network libraries as a first-class citizen into their
architectures. In this paper, we …

arxiv asynchronous data data streams iterative online learning routing