Kafka-ML

A soft sensor open-source methodology for inexpensive monitoring of water quality: A case study of NO₃⁻ concentrations

This study integrates soft sensors with Kafka-ML to predict NO₃⁻ levels in real time, enhancing low-cost IoT-based water monitoring and pollution control.

Federated Learning Meets Blockchain: A Kafka-ML Integration for reliable model training using data streams

This paper presents the integration of federated learning and blockchain with Kafka-ML for reliable model training using data streams in decentralized and secure environments.

The orchestration of Machine Learning frameworks with data streams and GPU acceleration in Kafka-ML: A deep-learning performance comparative

This study enhances Kafka-ML with PyTorch and GPU acceleration, demonstrating its efficiency for deep-learning workflows in Industry 4.0 scenarios.

Towards flexible data stream collaboration: Federated Learning in Kafka-ML

This paper presents an asynchronous federated learning solution within Kafka-ML, integrating federated learning with data streams for ML/AI applications.