Minghui Chen
Minghui Chen
Home
Publications
Experience
Service
Talks
Teaching
Light
Dark
Automatic
1
Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning
Federated learning (FL) is a learning paradigm that enables collaborative training of models using decentralized data. Recently, the …
Minghui Chen
,
Meirui Jiang
,
Xin Zhang
,
Qi Dou
,
Zehua Wang
,
Xiaoxiao Li
PDF
Code
Debiased Noise Editing on Foundation Models for Fair Medical Image Classification
In the era of Foundation Models’ (FMs) rising prominence in AI, our study addresses the challenge of biases in medical images …
Ruinan Jin
,
Wenlong Deng
,
Minghui Chen
,
Xiaoxiao Li
PDF
Code
Forgettable Federated Linear Learning with Certified Data Removal
Federated learning (FL) is a trending distributed learning framework that enables collaborative model training without data sharing. …
Ruinan Jin
,
Minghui Chen
,
Qiong Zhang
,
Xiaoxiao Li
PDF
Code
FedSoup: Improving Generalization and Personalization in Federated Learning via Selective Model Interpolation
Cross-silo federated learning (FL) enables the development of machine learning models on datasets distributed across data centers such …
Minghui Chen
,
Meirui Jiang
,
Qi Dou
,
Zehua Wang
,
Xiaoxiao Li
PDF
Cite
Code
VITA: A Multi-Source Vicinal Transfer Augmentation Method for Out-of-Distribution Generalization
Invariance to diverse types of image corruption, such as noise, blurring, or colour shifts, is essential to establish robust models in …
Minghui Chen
,
Cheng Wen
,
Feng Zheng
,
Fengxiang He
,
Ling Shao
PDF
Cite
Benchmarks for Corruption Invariant Person Re-Identification
When deploying person re-identification (ReID) model in safety-critical applications, it is pivotal to understanding the robustness of …
Minghui Chen
,
Zhiqiang Wang
,
Feng Zheng
PDF
Cite
Code
Dataset
Cite
×