Flex Conference (Physical / Digital)

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

Call for Paper

The ICECML provides a supportive platform for both experienced researchers and early-career academicians to present their work and gain recognition. The conference covers diverse topics such as Machine Learning encouraging participation from emerging researchers and fostering academic growth.

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

Review & Publication

Submissions will be reviewed to ensure quality and relevance, with a focus on encouraging emerging research contributions. Accepted papers will be presented and considered for publication opportunities.

Registration

Early-career researchers are encouraged to register and present their work, gaining valuable feedback and academic exposure.

Publication

The conference provides opportunities for emerging researchers to publish their work in recognized platforms.

Important Dates

Early Bird Registration :14th December 2026

Paper Submission Deadline :19th December 2026

Last Date of Registration : 29th December 2026

Date of Conference : 13th - 14th January 2027