(The following topics include but are not limited to)
Track 1: Blockchain Technology
Blockchain underlying architecture, consensus mechanism and performance optimization
Lightweight blockchain protocols and adaptation for resource-constrained devices
Smart contract design, security auditing and formal verification
Cross-chain interoperability protocols and multi-chain collaboration technologies
Blockchain privacy protection and cryptographic technologies
Decentralized identity (DID) management and trusted digital identity
Data storage optimization for blockchain and distributed ledgers
Scalability of blockchain systems and sharding technology
Blockchain security, resistance to quantum attacks and vulnerability analysis
Fusion architecture of blockchain and federated learning
Trusted data market and transaction mechanism based on blockchain
Applications of blockchain in supply chain traceability, finance, energy and other fields
Track 2: Internet of Things Perception, Communication and Systems
Internet of Things (IoT) architecture and Cyber-Physical Systems (CPS)
Smart sensor networks and multi-modal perception technologies
Internet of Things low-power wide-area network technologies (LoRa, NB-IoT, ZigBee, etc.)
5G/6G-enabled IoT communication and networking technologies
Interoperability of IoT devices, heterogeneity and scalability
IoT platforms, middleware and system integration
Edge intelligence and lightweight AI model deployment for IoT
IoT data collection, fusion and real-time processing
IoT digital twin and simulation verification
Multi-agent systems and collaborative sensing networks
IoT energy consumption optimization and green sustainable technologies
IoT applications in smart cities, intelligent manufacturing, smart agriculture, etc.
Track 3: Edge Intelligence and Distributed Systems
Edge computing and cloud-edge-end collaborative architecture design
Edge intelligence and lightweight AI inference acceleration
Distributed edge node resource scheduling and task allocation
Edge storage, caching and data distribution strategies
Edge real-time operating systems and deterministic networks
Edge-cloud federated learning and collaborative training mechanisms
Blockchain-driven edge trusted computing and data sharing
Edge-side privacy protection and secure computing
Digital twin and edge computing integration technology
Edge intelligence for low-latency applications (autonomous driving, industrial control, etc.)
Edge AI agents (Agentic AI) and autonomous decision-making
Edge computing energy consumption optimization and green edge systems
...