2027 2nd International Conference on Blockchain Technology and Foundation Models (BTFM 2027)
 

The 2027 2nd International Conference on Blockchain Technology and Foundation Models (BTFM 2027) will be held in Chaozhou, China, from March 19 to 21, 2027. The conference focuses on recent advances in blockchain technology, foundation models, and their integration in secure, trustworthy, and intelligent systems.

 

BTFM 2027 brings together researchers, engineers, scholars, and industry professionals to exchange ideas and present innovative research in areas including blockchain architectures, consensus mechanisms, smart contracts, decentralized systems, blockchain security and privacy, data management, foundation models, large language models, distributed and federated AI, AI-driven smart contracts, decentralized intelligence, and reliable AI systems.

 

The conference welcomes theoretical, methodological, experimental, and application-oriented contributions, providing a platform for exploring emerging technologies and fostering collaboration at the intersection of blockchain, artificial intelligence, and intelligent computing.

 
✓ Indexed BTFM 2026 Published & Indexed · Scopus & EI Compendex
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Indexing Page 1
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Full Paper Submission Deadline:
December 25, 2026
📋
Notification Date:
January 29, 2027
📄
Final Paper Submission Deadline:
February 19, 2027
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Conference Dates:
March 19–21, 2027
 
🔗 Blockchain Technology and Secure Computing
Blockchain architectures and consensus mechanisms Smart contracts and decentralized applications Blockchain security and privacy Distributed ledger and decentralized systems Data management and trusted data sharing Privacy-preserving computation Digital assets and tokenization Blockchain for IoT and edge computing
… and related topics
🤖 Foundation Models and Intelligent Systems
Foundation models and large language models Trustworthy and secure AI Distributed and federated AI AI model training and optimization AI-driven smart contracts Blockchain-enabled AI applications Decentralized AI and intelligent agents Explainable and reliable AI systems
… and related topics

 

 
Hanshan Normal University