TensAIR: Real-Time Training of Neural Networks from Data-streams

arXiv:2211.10280v2 Announce Type: replace
Abstract: Online learning (OL) from data streams is an emerging area of research that encompasses numerous challenges from stream processing, machine learning, and networking. Stream-processing platforms, such as Apache Kafka and Flink, have basic extensions for the training of Artificial Neural Networks (ANNs) in a stream-processing pipeline. However, these extensions were not designed to train ANNs in real-time, and they suffer from performance and scalability issues when doing so. This paper presents TensAIR, the first OL …

abstract anns apache apache kafka artificial artificial neural networks arxiv basic challenges cs.db cs.dc cs.lg data data streams extensions flink however kafka machine machine learning networking networks neural networks online learning pipeline platforms processing real-time research stream processing training type