Nowadays, edge computing techniques are universally used and become more powerful. The edge devices are well developed such as mobile phones, wearable devices, and IoT devices. Today edge computing has evolved to a new computing paradigm where computing tasks are completed closer to data sources (i.e. at edge) rather than in a centralized location (e.g. in cloud). Compared with cloud computing, edge computing has many advantages: 1) Services can be done without network access. 2) Users can choose not to upload private data in exchange of cloud services. 3) Real-time service with extremely low latency is possible without the overhead of moving data to the cloud. However, the restricted resources (e.g., computation, DRAM space, and battery) of edge devices bring many new challenges to edge computing as well.

IEEE EdgeCom 2026 provides a forum for researchers and engineers from academia and industry to present innovative research and best practices in edge computing, discuss the opportunities and challenges that arise from rethinking cloud computing architectures and embracing edge computing. IEEE EdgeCom 2026 welcomes contributions from diverse perspectives of edge computing, which include (but are not limited to) the following topics:

Artificial Intelligence in Edge Computing
Deep Learning in Edge Computing
Edge computing in IoT
Security and fault tolerance for embedded or ubiquitous systems
Privacy protection in edge computing
Software/Algorithm optimization for edge computing
Cyber security in mobile embedded systems
Edge computing infrastructure
Workload characterization and analysis of applications running on edge devices
Digital forensics and privacy issues in cloud computing
Cyber monitoring approaches
Case studies of real-world edge computing applications
Monitoring and diagnosis tools for edge computing
Social engineering, insider threats, advance spear phishing
On-device artificial intelligence
Heterogeneous clouds and vulnerabilities
Secure methods for heterogeneous cloud resource sharing
Architecture support for edge computing
Cloud-based audio/video streaming techniques
Energy efficient edge computing
Case studies for cyber security applications
Cloud-based real-time multimedia techniques
New attack methods and applications
Green cloud computing
Quality of Service (QoS) improvements techniques
Edge-Cloud coordinated computing
Cloud-based sensor network and security issues