The 24th IEEE International Symposium on Parallel and Distributed Processing with Applications
(IEEE ISPA 2026)
Kuala Lumpur, Malaysia
27-30 December 2026
Important Dates
Paper Submission
30 October 2026 (AoE time)
Author Notification
15 November 2026
Camera-Ready Submission
30 November 2026
Conference Dates
27-30 December 2026
Organizing Committee
Chairs
Zhou Zhou, Changsha University, China
Zhenli He, Yunnan University, China
Jing Liu, Wuhan University of Science and Technology, China
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AI4SEC 2026 |
AI4SEC 2026: IEEE ISPA 2026 Special Session on AI-Driven Optimization for Sustainable Edge-Cloud Continuum
The rapid proliferation of Internet of Things (IoT), 5G/6G networks, and data-intensive applications has accelerated the evolution of the edge-cloud continuum, where computation seamlessly spans from resource-constrained edge devices to powerful cloud infrastructures. While this paradigm enables low-latency services and scalable intelligence, it also introduces significant challenges in terms of energy consumption, resource allocation, system efficiency, and sustainability.
Artificial Intelligence (AI), particularly machine learning and deep learning techniques, has emerged as a transformative enabler for optimizing the edge-cloud continuum. AI-driven approaches can dynamically manage resources, improve energy efficiency, enhance service quality, and support sustainable computing infrastructures.
This Special Session aims to bring together cutting-edge research and innovative solutions that leverage AI to optimize the performance, efficiency, and sustainability of edge-cloud systems. We invite original research articles, surveys, and application-driven studies addressing theoretical advancements, system architectures, and real-world deployments.
We invite submissions from academia, government and industry that present novel research on the topics as following areas:
1.AI for Resource Optimization
- Intelligent resource provisioning in edge-cloud environments
- Reinforcement learning for dynamic orchestration
- Federated learning for distributed optimization
2.Energy Efficiency and Sustainability
- Green AI for edge-cloud systems
- Energy-aware computing and scheduling
- Renewable energy integration in edge/cloud computing
3.Edge Intelligence and Distributed AI
- Collaborative intelligence between edge and cloud
- Model partitioning and split learning
- On-device AI and lightweight models
- Privacy-preserving AI in edge environments
4.Network Optimization and Communication Efficiency
- AI-driven network slicing and traffic management
- Adaptive communication protocols
- Latency-aware optimization strategies
- 5G/6G-enabled edge-cloud systems
5.Security, Privacy, and Trust
- Secure AI frameworks for edge-cloud continuum
- Privacy-preserving data analytics
- Blockchain-enabled edge-cloud systems
6.Applications and Use Cases
- Smart cities and intelligent transportation
- Industrial IoT and Industry 4.0
- Autonomous systems and robotics
7.System Architectures and Frameworks
- Serverless and microservices in edge-cloud systems
- Digital twins for system optimization
- Benchmarking and performance evaluation
Paper Submission
All papers must be submitted electronically via EDAS at https://edas.info/N35739. Submissions must not substantially overlap with previously published papers or papers concurrently submitted to other journals or conferences. Special Session papers are limited to 6 pages, and must be formatted in the IEEE Computer Society Proceedings Format. Templates and formatting guidelines are available at https://template-selector.ieee.org/. All submitted papers will undergo a single-blind peer review process.
Paper Publication
Papers accepted by IEEE ISPA 2026 Special Session will be published by the IEEE Computer Society Press. All accepted papers will be submitted to IEEE Xplore and EI.
Sponsored and Organized by
