Year
2021
Private Intelligence relation
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 HoangCT Lam
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