Blockchain-based federated learning for Agri-food supply chain

This project utilizes blockchain technology, smart contracts, and federated learning techniques to enhance collaboration between multiple parties for the agri-food supply chain application. It aims to promote data trust between multiple stakeholders in the supply chain by adopting blockchain technology and federated learning techniques. Multiple parties can keep their data at their local data storage, protect individuals’ privacy, and still contribute to model training and extracting knowledge. Blockchain technology is adopted as a distributed storage to securely verify data and distribute model training data on a ledger replicated across a peer-to-peer network. Smart contracts are responsible for the automatic execution of aggregating model updates and tasks of multiple parties.

Faculty Supervisor:

Sara Rouhani;Carson Leung

Student:

Partner:

TheoryMesh Corp.

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Manitoba

Program: