Call for Papers
AEGIS 2026 — The 1st International Workshop on
Agentic Edge and Generative Intelligent Systems
Co-located with IEEE MASS 2026 · Hong Kong SAR, China · October 21–23, 2026
The convergence of Agentic AI, Generative Foundation Models, and Edge Computing is reshaping how intelligent systems are designed, deployed, and coordinated. AEGIS 2026 provides a focused forum for presenting and discussing cutting-edge research at this intersection. We invite original contributions on deploying autonomous AI agents at the network edge, designing communication-efficient multi-agent collaboration protocols, and harnessing generative models for embodied intelligence in resource-constrained environments.
Topics of Interest
We solicit original contributions in the following areas (not limited to):
Foundations of Agentic Edge Intelligence
- Lightweight LLMs and Small Language Models (SLMs) for resource-constrained edge devices
- System architectures enabling agentic AI reasoning and tool use at the edge
- Edge–cloud co-design for scalable foundation model deployment
- In-context learning, prompt tuning, and parameter-efficient fine-tuning on edge hardware
- Hardware acceleration and NPU/TPU optimization for autonomous edge agents
Multi-Agent Systems and Collaborative Intelligence
- LLM-based multi-agent orchestration and task decomposition in edge environments
- Collaborative perception, planning, and decision-making in autonomous systems (UAVs, vehicles, robots)
- Game-theoretic frameworks for competitive and cooperative edge resource allocation
- Distributed consensus and synchronization for asynchronous heterogeneous agents
- Agent-to-agent negotiation and delegation protocols for dynamic edge networks
Generative AI and Diffusion Models at the Edge
- Diffusion models for edge-native content generation and data augmentation
- Generative policies for robotics, embodied AI, and physical world interaction
- Resource-efficient inference pipelines for diffusion and transformer architectures
- Generative AI for network traffic synthesis, digital twins, and simulation
- Personalized generative agents on mobile and wearable devices
Edge Intelligence Optimization and Orchestration
- Predictive resource management and workload scheduling via deep reinforcement learning
- Energy-aware scheduling and green AI for agent workloads at the edge
- Mobility management, seamless handovers, and service migration in agent-based networks
- Real-time latency optimization and QoS guarantees for agentic interactions
- Self-healing, fault-tolerant, and resilient edge infrastructure design
Security, Privacy, and Trust in Agentic Systems
- Adversarial robustness and attack detection for edge-deployed agents
- Privacy-preserving multi-agent collaboration and differential privacy
- Trustworthy agentic AI: explainability, accountability, and blockchain-based verification
- Secure agent communication and authentication in open edge environments
- Ethical governance and regulatory considerations for autonomous edge systems
Submission Guidelines
Papers should be at most 6 pages (including references) in the two-column IEEE conference format. All submissions must be original and not under review elsewhere. Accepted papers will appear in the IEEE MASS 2026 workshop proceedings and be indexed in IEEE Xplore. See the Submission page for detailed instructions.
Important Dates
| Milestone | Date |
|---|
| Workshop Paper Submission Deadline | July 31, 2026 |
| Notification of Acceptance | August 15, 2026 |
| Camera-Ready Submission | August 31, 2026 |
| Workshop Date | October 21 or 23, 2026 (co-located with IEEE MASS 2026) |
