Presentation
TrustChain: Enabling Consensus-Driven Multitasking AI
DescriptionCollaboration in artificial intelligence (AI) faces significant challenges, including privacy concerns, trust deficits, and limitations in handling diverse tasks. Existing centralized and federated frameworks suffer from scalability issues, reliance on single points of failure, and a lack of transparent mechanisms for validating model updates. To address these gaps, we propose TrustChain, a decentralized AI framework that leverages IOTA Tangle for tamper-proof, immutable update logs and Matrix for secure, encrypted communication. TrustChain integrates task-specific models (e.g., BioBERT for NER, LLAMA for QA, and BioGPT) into a unified Global Model using knowledge distillation, enabling multitasking while preserving data privacy. Experimental results demonstrate that TrustChain achieves balanced performance across tasks, providing scalability and transparency through consensus-driven trust. By ensuring privacy, adaptability, and decentralized collaboration, TrustChain offers a robust foundation for secure, multi-institutional AI development.
Event Type
Engineering Presentation
TimeTuesday, June 244:15pm - 4:30pm PDT
Location2008, Level 2
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