Scopes
(Include but not limited to)
Track 1: Edge Intelligence and Distributed AI
Cloud-edge collaborative training and inference
Edge-based basic model deployment and optimization
Generative AI in edge computing
Federated learning and distributed learning
Efficient deep learning on edge devices
Lightweight models and model compression
Resource allocation and scheduling in edge intelligence
Privacy protection and secure aggregation in edge computing scenarios
Applications of edge intelligence in XR/CPS/drones autonomy
Edge-assisted artificial intelligence systems
Efficient distributed inference at the edge
Edge intelligence algorithms and optimization
Integration of edge computing and 5G/6G architectures
Trusted edge AI and explainability
Track 2: Communication Networks and Next-Generation Wireless Systems
B5G/6G communication architectures and protocols
Semantic communication and task-driven transmission
Wireless and mobile communication
Massive MIMO and millimeter wave/terahertz communication
Integrated air-ground-sea networks and non-ground networks
Communication, sensing, and computing integration (ISAC)
Network slicing and resource management
Edge computing and fog computing networks
Heterogeneous networks and interference management
Optical communication and optical network systems
Satellite communication and deep space communication
Internet of Things and machine type communication
Green communication and energy efficiency optimization
Network intelligence and AI-native architecture
Track 3: Computer Systems and Security
Edge/cloud-native system architectures
Distributed systems and parallel computing
Embedded systems and AIoT
Networked physical systems (CPS)
Computer network security and privacy protection
Trust mechanisms and security frameworks in edge intelligence
Intrusion detection and anomaly monitoring
Privacy protection mechanisms for federated learning
Decentralized AI systems and blockchain integration
Secure edge AI deployment
Reliability and resilience of critical infrastructure systems
Intelligent computing systems and sustainable computing
Digital twin and edge system simulation
System performance modeling and optimization
......
Track 1: Edge Intelligence and Distributed AI
Cloud-edge collaborative training and inference
Edge-based basic model deployment and optimization
Generative AI in edge computing
Federated learning and distributed learning
Efficient deep learning on edge devices
Lightweight models and model compression
Resource allocation and scheduling in edge intelligence
Privacy protection and secure aggregation in edge computing scenarios
Applications of edge intelligence in XR/CPS/drones autonomy
Edge-assisted artificial intelligence systems
Efficient distributed inference at the edge
Edge intelligence algorithms and optimization
Integration of edge computing and 5G/6G architectures
Trusted edge AI and explainability
Track 2: Communication Networks and Next-Generation Wireless Systems
B5G/6G communication architectures and protocols
Semantic communication and task-driven transmission
Wireless and mobile communication
Massive MIMO and millimeter wave/terahertz communication
Integrated air-ground-sea networks and non-ground networks
Communication, sensing, and computing integration (ISAC)
Network slicing and resource management
Edge computing and fog computing networks
Heterogeneous networks and interference management
Optical communication and optical network systems
Satellite communication and deep space communication
Internet of Things and machine type communication
Green communication and energy efficiency optimization
Network intelligence and AI-native architecture
Track 3: Computer Systems and Security
Edge/cloud-native system architectures
Distributed systems and parallel computing
Embedded systems and AIoT
Networked physical systems (CPS)
Computer network security and privacy protection
Trust mechanisms and security frameworks in edge intelligence
Intrusion detection and anomaly monitoring
Privacy protection mechanisms for federated learning
Decentralized AI systems and blockchain integration
Secure edge AI deployment
Reliability and resilience of critical infrastructure systems
Intelligent computing systems and sustainable computing
Digital twin and edge system simulation
System performance modeling and optimization
......
Important Dates/重要日期
- Submission Deadline: 2026.11.21
- Registration Deadline: 2026.11.28
- Conference Date: 2026.12.6
- Notification Date: About a week after the submission
Submission Portal/投稿方式
Mail Address: isubmit_paper@163.com
If you have any question or need any assistance regarding the conference, please feel free to contact our conference specialists:
徐老师
+86-15680829715(微信同号)
1347638002
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