A Decentralized Training Model for Machine Learning using Blockchain
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Authors
Clayton, Peter
Kode, Hepseeba
Margam, Aishwarya
Muturi, Beth
Issue Date
2022-04-05
Type
Other
Language
en
Keywords
Machine learning , Blockchain , Artificial intelligence , Decentralization , Accessibility
Alternative Title
Abstract
Blockchain technology offers a high degree of transparency, trust, availability, and security, which is playing an important role in industry applications like automotive, financial services, health care, energy, supply chain and many more. Similarly, AI is also playing a major role in industry, processing and analyzing huge data sets. There exists an opportunity to leverage the decentralized computational power of trainers/miners within a blockchain ecosystem to vastly reduce the resources necessary for machine learning workloads. Additionally, there exists a further blockchain-based opportunity to publicly share machine learning models in a way that increases accessibility, retains authorship, and provides unique opportunities for AI-based mashups.