Pre-Enrollment

20th September 2026

Final Paper Submission

25th September 2026

Registration Deadline

5th October`2026

Conference Date

20th Oct - 21st Oct 2026

Call for Papers

The International Conference on Edge Computing with Machine Learning invites researchers, academicians, industry experts, and practitioners to submit original and high-quality research contributions. This conference serves as a global platform for presenting innovative ideas, exchanging knowledge, and fostering interdisciplinary collaboration.

Focusing on key research areas such as Machine Learning, the conference aims to bridge theoretical advancements with real-world applications.

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

01
Edge Computing Architectures And Frameworks
02
Machine Learning At The Edge
03
Latency Reduction Techniques In Edge Computing
04
Resource Allocation Strategies For Edge Devices
05
Data Processing In Edge Environments
06
Security Challenges In Edge Computing
07
Applications Of Edge Computing In Iot
08
Real-time Analytics At The Edge
09
Energy-efficient Edge Computing Solutions
10
Collaborative Edge Computing Systems
11
Machine Learning Model Deployment At Edge
12
Data Privacy In Edge Computing
13
Scalability Of Edge Computing Solutions
14
Edge Computing For Smart Devices
15
Integrating Cloud And Edge Computing
16
Edge Computing For Autonomous Systems
17
Performance Evaluation Of Edge Systems
18
Edge Computing For Healthcare Applications
19
Future Directions In Edge Computing
20
Interoperability In Edge Computing Environments
Conference Registration

To confirm your participation and secure your presentation slot, authors of accepted papers must complete the registration. Early registration is highly recommended to enjoy discounted fees.

Register Now to Confirm Participation
Publication & Submission

Present your findings to a global audience. All accepted papers are eligible for publication in ISER-affiliated journals and conference proceedings, providing you with maximum academic visibility.

Submit Your Paper for Review