Flex Conference (Physical / Digital)

International Conference on Edge Computing with Machine Learning - (ICECML-27)

18th - 19th May 2027 , Buenos Aires - Argentina

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Call For Papers

The (ICECML-27) 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:

  • Edge computing architectures and frameworks
  • Machine learning at the edge
  • Latency reduction techniques in edge computing
  • Resource allocation strategies for edge devices
  • Data processing in edge environments
  • Security challenges in edge computing
  • Applications of edge computing in IoT
  • Real-time analytics at the edge
  • Energy-efficient edge computing solutions
  • Collaborative edge computing systems
  • Machine learning model deployment at edge
  • Data privacy in edge computing
  • Scalability of edge computing solutions
  • Edge computing for smart devices
  • Integrating cloud and edge computing
  • Edge computing for autonomous systems
  • Performance evaluation of edge systems
  • Edge computing for healthcare applications
  • Future directions in edge computing
  • Interoperability in edge computing environments

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.