International Conference on Cloud Computing and Machine Learning ICCCML

Call For Papers

The ICCCML bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on Machine Learning , encouraging applied research, case studies, and industry-driven innovations.

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

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in reputed journals and conference proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

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Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.

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Hybrid Event