Model fusion for personalized learning

Year
2021
Direct or indirect related to Private Intelligence
DIRECT
Link
https://scholar.google.com/citations?view_op=view_citation&hl=en&user=E-kZZeQAAAAJ&citation_for_view=E-kZZeQAAAAJ:M3NEmzRMIkIC
Conference/Journal

International Conference on Machine Learning, 5948-5958

Author(s) from Distilled Foundation
TN Hoang
How the work relates to Private Intelligence

Proposing a new personalized learning framework that synthesizes customized models for unseen tasks via fusion of independently pre-trained models of related tasks

Gained Experience