1 code implementation • 17 Apr 2024 • Changbin Li, Kangshuo Li, Yuzhe Ou, Lance M. Kaplan, Audun Jøsang, Jin-Hee Cho, Dong Hyun Jeong, Feng Chen
In this paper, we propose a novel framework called Hyper-Evidential Neural Network (HENN) that explicitly models predictive uncertainty due to composite class labels in training data in the context of the belief theory called Subjective Logic (SL).
no code implementations • 26 Dec 2023 • Panlong Wu, Kangshuo Li, Ting Wang, Fangxin Wang
In this paper, we propose a novel two-stage federated learning algorithm called FedMS.