Enhancing the Generalization of Personalized Federated Learning with Multi-head Model and Ensemble Voting

Year

2024

Private Intelligence relation

DIRECT

Link

https://scholar.google.com/citations?view_op=view_citation&hl=vi&user=L_NKoQwAAAAJ&pagesize=100&sortby=pubdate&citation_for_view=L_NKoQwAAAAJ:HE397vMXCloC

Conference/Journal

2024 IEEE International Parallel and Distributed Processing Symposium (IPDPS)

Author(s) from Distilled Foundation

P Le Nguyen

How the work relates to Private Intelligence

A generalized method for personalized Federated Learning: training personalized models for individual clients without substantial data barrier.

Gained Experience