Flex Conference (Physical / Digital)

International Conference on Cloud Computing and Machine Learning - (ICCCML-26)

29th - 30th September 2026 , Seattle - USA

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Call For Papers

The (ICCCML-26) emphasizes interdisciplinary collaboration by bringing together experts from diverse fields. It encourages research that integrates multiple perspectives to address complex global challenges.

Key areas such as Machine Learning are explored to promote cross-domain knowledge exchange and collaborative innovation.

Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Cloud computing architecture and frameworks
  • Machine learning algorithms for cloud environments
  • Big data analytics in cloud computing
  • Security challenges in cloud machine learning
  • Scalable machine learning models on cloud
  • Data privacy in cloud-based ML applications
  • Cloud resource management for ML workloads
  • Edge computing and machine learning integration
  • Real-time data processing in cloud ML
  • Federated learning in cloud environments
  • Cost optimization for cloud ML services
  • Hybrid cloud solutions for machine learning
  • Deployment strategies for ML in cloud
  • Interoperability of cloud services and ML
  • Performance evaluation of cloud ML systems
  • Cloud-based tools for data visualization
  • Machine learning for cloud service optimization
  • Impact of cloud computing on AI research
  • Collaborative machine learning in the cloud
  • Future trends in cloud ML technologies

Assessment

All submissions will undergo peer review to ensure quality and interdisciplinary relevance. Accepted papers will be presented and considered for publication in journals and conference proceedings.

Registration

Registering for the conference provides access to keynote sessions, technical presentations, and networking opportunities with global experts.

Publication

Publishing through the conference enhances the visibility of your research and connects your work with a broader academic audience.