★ Full Name: 2027 5th International Conference on Big Data and Privacy Computing (BDPC 2027) ★ Abbreviation: BDPC 2027 ★ Website: https://www.icbd.org/ ★ Date: August 18–20, 2027 ★ Held in: Taiyuan, China BDPC 2027 · Taiyuan · August 18–20, 2027 2027 5th International Conference on Big Data and Privacy Computing (BDPC 2027) will be held in Taiyuan, China from August 18 to 20, 2027. The event is sponsored by Shanxi Normal University, China, and hosted by School of Computer Science and Artificial Intelligence, Shanxi Normal University, China. This conference enables delegates from various disciplines to exchange innovative ideas and application experiences face-to-face, build research partnerships, and seek international collaborators. It is anticipated that the conference outcomes will greatly advance knowledge in these cutting-edge research areas. ★ Call for Papers Topics of interest for submission include, but are not limited to: Track 1: Big Data Infrastructure and Storage Technologies Big Data Software and Hardware Infrastructure Big Data Analysis Architectures and Open Platforms Cloud-Native and Serverless Big Data Systems Multi-Modal Generative Data Storage and Management Data Element Infrastructure and Asset Management Distributed Storage and Data Lake Architecture Optimization Hierarchical Storage for LLM Training Data Green and Low-Carbon Data Center Storage Technologies Long-Term Cold Data Storage and Fast Retrieval Distributed Data Storage Protocols for Edge Nodes Track 2: Intelligent Big Data Processing and Analytics Technologies Fundamental Big Data Algorithms and Parallel Computing Structured and Unstructured Data Mining Efficient Big Data Processing and Programming Frameworks Data Quality Control and Provenance Governance Big Data System Deployment and Engineering Practice Real-Time Stream Data Intelligent Analytics and Early Warning Multi-Modal Big Data Fusion Analytics Technologies LLM-Driven Big Data Analytics Time-Series Big Data Mining and Prediction Modeling Federated Big Data Analytics and Collaborative Mining Track 3: Core Theories and Technologies of Privacy-Preserving Computing Federated Learning Theory and System Optimization Secure Multi-Party Computation Protocol Design Homomorphic Encryption Engineering Implementation Differential Privacy and Data Anonymization Privacy Computing Hardware Acceleration Technologies Lightweight Privacy-Preserving Computing Protocol Design Post-Quantum Privacy-Preserving Computing Technologies Privacy Budget Optimization and Dynamic Allocation Privacy Protection for Federated Transfer Learning Formal Verification of Privacy-Preserving Computing Protocols Track 4: Integration of Privacy Computing and Artificial Intelligence Privacy-Preserving Machine Learning Models Trusted AI Security and Privacy Assurance Federated Learning and AI Model Compression Privacy-Preserving Large Model Training Federated Generative AI Technologies Privacy-Preserving Multi-Modal AI Systems AI-Driven Privacy Risk Assessment Edge AI Privacy-Preserving Computing Technologies Privacy Protection for Large Model Inference AI Model Watermarking and Privacy Traceability Track 5: Collaborative Technologies of Blockchain and Privacy Computing Blockchain and Privacy Computing Integration Technologies Decentralized Data Sovereignty and Distributed Storage Blockchain-Based Data Verification and Copyright Traceability ZK Blockchain and Cross-Chain Interoperability DAO-Based Decentralized Data Collaborative Governance Blockchain Oracle Privacy Protection Cross-Chain Privacy-Preserving Data Sharing Technologies Blockchain Privacy Computing Compliance Technologies Privacy Protection for Real-World Assets (RWA) Blockchain Privacy Computing Auditing Technologies Track 6: Innovative Applications of Privacy Computing in Industries Financial Big Data Privacy Computing Applications Medical and Health Data Privacy Protection Government Data Sharing Privacy Computing Industrial Big Data Privacy and Security Technologies Educational Data Privacy Computing and Applications Traffic Big Data Privacy Protection Technologies Retail Data Privacy Computing Solutions Energy Big Data Privacy-Preserving Sharing Technologies Metaverse Data Privacy Protection Applications V2X Privacy-Preserving Computing Technologies Track 7: Data Security and Compliance Governance Technologies Data Security Level Protection Technologies Cross-Border Data Flow Compliance Technologies Data Security Auditing and Monitoring Systems Privacy Computing Compliance Assessment Frameworks Data Leakage Detection and Response Technologies GDPR/CCPA Compliance Automation Technologies Data Sovereignty and Compliance Storage Technologies Privacy Computing Auditing and Traceability Technologies Dynamic Data Masking and Access Control Intelligent Early Warning for Data Compliance Risks Track 8: Emerging Frontiers in Big Data and Privacy Technologies Generative AI Data Privacy Protection Quantum Big Data Processing Technologies Digital Twin Data Privacy Computing Edge Big Data Privacy Protection Technologies Metaverse Data Security and Privacy Large Model Training Data Privacy Protection V2X Big Data Privacy Computing BCI Data Privacy Protection Technologies Quantum-Privacy Computing Integration Technologies Space-Air-Ground Integrated Data Privacy Protection Track 9: Big Data Privacy and Security Protection Technologies Big Data Transmission Encryption and Authentication Technologies Big Data Access Control and Permission Management Big Data Privacy Attack and Defense Technologies Big Data Security Situation Awareness Systems Big Data Malicious Code Detection Technologies Big Data Privacy Protection Middleware Mobile Terminal Big Data Privacy Protection Big Data Security Operations Center (SOC) AI-Driven Big Data Security Protection Big Data Backup and Disaster Recovery Technologies Track 10: Privacy Computing System Optimization and Evaluation Privacy Computing System Performance Optimization Privacy Computing System Energy Optimization Technologies Privacy Computing Evaluation Standards and Methods Privacy Computing System Scalability Design Privacy Computing System Fault-Tolerance Mechanisms Privacy Computing System Benchmark Design Edge Privacy Computing System Optimization Privacy Computing System Dynamic Resource Scheduling Privacy Computing System Compatibility Testing Secondary Development of Open-Source Privacy Computing Systems ★ Publication Accepted papers will be submitted for inclusion into BDPC 2027 Conference Proceedings. The papers will be indexed by Ei Compendex and Scopus. ★ Submission Length: 4-10 pages (including figures, tables & references) File Size: Maximum 2.0MB Do NOT include page numbers or apply security settings to your file Additional Requirements: Copyright form is required for publication. The conference secretary will send the notification after paper acceptance. At least one author of an accepted paper must register AND attend the conference to present the paper. Welcome to submit the paper or abstract via the Electronic Submission System: https://www.zmeeting.org/submission/bdpc2027 Templates: Word Template: https://www.icbd.org/IEEEtemplate-word.doc LaTeX Template: https://www.icbd.org/ieee-latex-conference-template.zip More details about submission, please visit: https://www.icbd.org/guideline.html ★ Conference Program August 18, 2027 | On-site registration & Materials Collection & Online Zoom Test August 19, 2027 | Opening Ceremony & Keynote Speeches & Parallel Sessions August 20, 2027 | Parallel Sessions ★ About Taiyuan Taiyuan is cradled in the majestic Fen River Valley, a magnificent tapestry where the Loess Plateau meets verdant mountains and crystalline waters. This is a land where time has etched its marks upon every inch of soil: as you wander through the ancient labyrinthine streets of a city with over 2,500 years of history, the remnants of Ming Dynasty city walls stand guard over the former sites of Shanxi merchant banks and Tang- and Song-style temples and pavilions. Just beyond the city, the Song Dynasty painted sculptures at Jinci Temple and the grotto statues at Mount Tianlong silently recount the radiance of faith and art. In Taiyuan, history is not merely the past—it breathes with profound depth, offering every visitor the most resonant spiritual echo against the majestic backdrop of its mountains and rivers. ★ Contact Conference Secretary: Ms. Jyun Email: bdpc_conf@163.com Website: https://www.icbd.org/