TensAIR: Real-Time Training of Neural Networks from Data-streams
Mauro Dalle Lucca Tosi, Vinu E. Venugopal, Martin Theobald · 2024
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.