The International Conference on Edge Computing with Machine Learning is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.
With a strong focus on Machine Learning, the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.
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