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Kafka-ML: Connecting the data stream with ML/AI frameworks

  • Published:2022-01 Issue: Volume:126 Page:15-33
  • ISSN:0167-739X
  • Container-title:Future Generation Computer Systems
  • language:en
  • Short-container-title:Future Generation Computer Systems

Author:

Martín CristianORCID,Langendoerfer Peter,Zarrin Pouya SoltaniORCID,Díaz Manuel,Rubio Bartolomé

Funder

Centre Elile Borel, Institut Henri-Poincaré

Junta de Andalucia

Universidad de Málaga

España Ministerio de Ciencia Innovación y Universidades

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference63 articles.

1. Artificial intelligence: a survey on evolution, models, applications and future trends;Lu;J. Manage. Anal.,2019

2. One trillion edges: Graph processing at facebook-scale;Ching;Proc. VLDB Endow.,2015

3. State-of-the-art, challenges, and open issues in the integration of Internet of things and cloud computing;Díaz;J. Netw. Comput. Appl.,2016

4. Internet of Things at a Glance,2021

5. Machine learning and deep learning frameworks and libraries for large-scale data mining: a survey;Nguyen;Artif. Intell. Rev.,2019

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2. Distributed Federated and Incremental Learning for Electric Vehicles Model Development in Kafka-ML;2024 11th International Conference on Wireless Networks and Mobile Communications (WINCOM);2024-07-23

3. Network security AIOps for online stream data monitoring;Neural Computing and Applications;2024-05-11

4. Towards flexible data stream collaboration: Federated Learning in Kafka-ML;Internet of Things;2024-04

5. Integrating FMI and ML/AI models on the open‐source digital twin framework OpenTwins;Software: Practice and Experience;2024-03-05
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