PI: Yugyung Lee
This project explores domain adaptation & online learning for model customization considering privacy preservation and secure communication. We propose blockchain-based peer-to-peer federated learning (P2PDL) using federated learning applications.
(1)Effective deep learning model sharing through peer-to-peer collaboration.
(2)Personalized or customized modeling for domain adaptation considering your own data
(3)Blockchain and privacy preservation for peer-to-peer deep learning.
(4)Noise modeling and Homomorphic encryption modeling