Improving Heterogeneous Model Reuse by Density Estimation

1 code implementation • 23 May 2023 • Anke Tang, Yong Luo, Han Hu, Fengxiang He, Kehua Su, Bo Du, Yixin Chen, DaCheng Tao

This paper studies multiparty learning, aiming to learn a model using the private data of different participants.

Density Estimation Selection bias

FedABC: Targeting Fair Competition in Personalized Federated Learning

no code implementations • 15 Feb 2023 • Dui Wang, Li Shen, Yong Luo, Han Hu, Kehua Su, Yonggang Wen, DaCheng Tao

In particular, we adopt the ``one-vs-all'' training strategy in each client to alleviate the unfair competition between classes by constructing a personalized binary classification problem for each class.

Binary Classification Personalized Federated Learning

A Geometric View of Optimal Transportation and Generative Model

no code implementations • 16 Oct 2017 • Na Lei, Kehua Su, Li Cui, Shing-Tung Yau, David Xianfeng Gu

In this work, we show the intrinsic relations between optimal transportation and convex geometry, especially the variational approach to solve Alexandrov problem: constructing a convex polytope with prescribed face normals and volumes.