5th International Conference on Big Data and Privacy Computing (BDPC 2027)

The 5th International Conference on Big Data and Privacy Computing (BDPC 2027) examines advanced approaches to managing, analyzing, protecting, and governing large-scale data while enabling secure collaboration and artificial intelligence applications.

Key topics

• Data security and compliance governance technologies
  • Data leakage detection and response technologies
  • Cross-border data flow compliance technologies
  • GDPR/CCPA compliance automation technologies
  • Dynamic data masking and access control
  • Data security auditing and monitoring systems
  • Data sovereignty and compliance storage technologies
  • Privacy computing auditing and traceability technologies
  • Privacy computing compliance assessment frameworks
  • Intelligent early warning for data compliance risks
  • Data security level protection technologies
• Integration of privacy computing and artificial intelligence
  • Privacy-preserving machine learning models
  • Privacy-preserving large model training
  • Federated generative AI technologies
  • Trusted AI security and privacy assurance
  • Privacy-preserving multi-modal AI systems
  • Federated learning and AI model compression
  • AI-driven privacy risk assessment
  • Edge AI privacy-preserving computing technologies
  • Privacy protection for large model inference
  • AI model watermarking and privacy traceability
• Big data infrastructure and storage technologies
  • Distributed storage and data lake architecture optimization
  • Big data software and hardware infrastructure
  • Cloud-native and serverless big data systems
  • Multi-modal generative data storage and management
  • Hierarchical storage for LLM training data
  • Big data analysis architectures and open platforms
  • Green and low-carbon data center storage technologies
  • Long-term cold data storage and fast retrieval
  • Distributed data storage protocols for edge nodes
  • Data element infrastructure and asset management
• Collaborative technologies of blockchain and privacy computing
  • ZK blockchain and cross-chain interoperability
  • Blockchain-based data verification and copyright traceability
  • Decentralized data sovereignty and distributed storage
  • DAO-based decentralized data collaborative governance
  • Blockchain privacy computing compliance technologies
  • Cross-chain privacy-preserving data sharing technologies
  • Blockchain oracle privacy protection
  • Privacy protection for real-world assets (RWA)
  • Blockchain privacy computing auditing technologies
  • Blockchain and privacy computing integration technologies
• Privacy computing system optimization and evaluation
  • Privacy computing system performance optimization
  • Privacy computing system scalability design
  • Privacy computing system dynamic resource scheduling
  • Privacy computing system energy optimization technologies
  • Privacy computing evaluation standards and methods
  • Privacy computing system fault-tolerance mechanisms
  • Privacy computing system benchmark design
  • Edge privacy computing system optimization
  • Privacy computing system compatibility testing
  • Secondary development of open-source privacy computing systems
• Emerging frontiers in big data and privacy technologies
  • Quantum big data processing technologies
  • Generative AI data privacy protection
  • Digital twin data privacy computing
  • Large model training data privacy protection
  • Metaverse data security and privacy
  • V2X big data privacy computing
  • BCI data privacy protection technologies
  • Quantum-privacy computing integration technologies
  • Space-air-ground integrated data privacy protection
  • Edge big data privacy protection technologies
• Intelligent big data processing and analytics technologies
  • Structured and unstructured data mining
  • LLM-driven big data analytics
  • Fundamental big data algorithms and parallel computing
  • Real-time stream data intelligent analytics and early warning
  • Multi-modal big data fusion analytics technologies
  • Efficient big data processing and programming frameworks
  • Time-series big data mining and prediction modeling
  • Federated big data analytics and collaborative mining
  • Data quality control and provenance governance
  • Big data system deployment and engineering practice
• Innovative applications of privacy computing in industries
  • Medical and health data privacy protection
  • Financial big data privacy computing applications
  • Government data sharing privacy computing
  • Industrial big data privacy and security technologies
  • Traffic big data privacy protection technologies
  • Educational data privacy computing and applications
  • Energy big data privacy-preserving sharing technologies
  • Retail data privacy computing solutions
  • Metaverse data privacy protection applications
  • V2X privacy-preserving computing technologies
• Core theories and technologies of privacy-preserving computing
  • Secure multi-party computation protocol design
  • Federated learning theory and system optimization
  • Homomorphic encryption engineering implementation
  • Differential privacy and data anonymization
  • Post-quantum privacy-preserving computing technologies
  • Privacy computing hardware acceleration technologies
  • Lightweight privacy-preserving computing protocol design
  • Privacy budget optimization and dynamic allocation
  • Privacy protection for federated transfer learning
  • Formal verification of privacy-preserving computing protocols
• Big data privacy and security protection technologies
  • Big data privacy attack and defense technologies
  • Big data transmission encryption and authentication technologies
  • AI-driven big data security protection
  • Big data security situation awareness systems
  • Big data access control and permission management
  • Big data malicious code detection technologies
  • Mobile terminal big data privacy protection
  • Big data privacy protection middleware
  • Big data security operations center (SOC)
  • Big data backup and disaster recovery technologies