Track 1: Edge Computing Infrastructure and Enabling Technologies

ØHardware architecture for edge computing nodes (AI chips, in-memory computing, energy efficiency optimization)

ØEdge-native software and lightweight container/virtualization technologies

ØEdge-to-edge and edge-to-cloud collaborative communication protocols and networks (computing power network, 6G integration)

ØEdge computing resource management and task scheduling algorithms

ØFundamental frameworks for system security and privacy protection in edge environments

Track 2: Edge Intelligence Algorithms and Model Deployment

ØModel compression, pruning, quantization, and knowledge distillation techniques for edge devices

ØLightweight neural network architecture design and automated search

ØOnline learning, continual learning, and federated learning algorithms on the edge

ØMultimodal edge sensing and fusion inference

ØMiniaturization and inference optimization of Large Language Models (LLMs) on edge devices

Track 3: Smart Agriculture and Edge Intelligence Applications in Vertical Industries

ØFarmland edge intelligent gateways and sensor networks

ØReal-time pest/disease identification, crop growth monitoring, and yield estimation based on edge AI

ØEdge-based decision-making and control for smart irrigation, fertilization, and agricultural machinery operation

ØEdge intelligent health monitoring and environmental regulation for livestock, poultry, and aquaculture

Ø"Smart Agriculture + Low-altitude Technology" Edge Applications: UAV edge computing platforms for real-time aerial image analysis, precise pesticide application, and plant protection path planning

Track 4: Intelligent System Integration and Emerging Application Paradigms

ØIndustrial Internet edge intelligent systems (predictive maintenance, digital twins)

ØEdge computing in intelligent transportation and vehicle-infrastructure cooperation

ØEdge sensing and real-time response systems in smart cities (security, environmental protection)

ØLow-altitude Economy Edge Intelligent Systems

ØLightweight edge rendering and interaction for Extended Reality (XR) and the metaverse

Track 5: Blockchain-Enabled Edge Computing and Trusted Systems

ØBlockchain-based decentralized identity and authentication for edge devices

ØTrusted execution and secure enclaves integrated with blockchain in edge environments

ØBlockchain for data integrity, provenance, and tamper-proof logging at the edge

ØDecentralized edge resource marketplace and incentive mechanisms via tokenization

ØLightweight consensus protocols and privacy-preserving mechanisms (ZK proofs, homomorphic encryption) for resource-constrained edge nodes