Hanchi Ren

According to our database, Hanchi Ren authored at least 7 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A survey on vulnerability of federated learning: A learning algorithm perspective.

Xianghua Xie, Chen Hu, Hanchi Ren, Jingjing Deng

Neurocomputing, March, 2024

FedBoosting: Federated learning with gradient protected boosting for text recognition.

Hanchi Ren, Jingjing Deng, Xianghua Xie, Xiaoke Ma, Yichuan Wang

Neurocomputing, February, 2024

Centersam: Fully Automatic Prompt for Dense Nucleus Segmentation.

Yiming Li, Hanchi Ren, Jingjing Deng, Xiaoke Ma, Xianghua Xie

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Gradient Leakage Defense with Key-Lock Module for Federated Learning.

Hanchi Ren, Jingjing Deng, Xianghua Xie, Xiaoke Ma, Jianfeng Ma

CoRR, 2023

An Element-Wise Weights Aggregation Method for Federated Learning.

Yi Hu, Hanchi Ren, Chen Hu, Jingjing Deng, Xianghua Xie

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

GRNN: Generative Regression Neural Network - A Data Leakage Attack for Federated Learning.

Hanchi Ren, Jingjing Deng, Xianghua Xie

ACM Trans. Intell. Syst. Technol., 2022

2020

Privacy Preserving Text Recognition with Gradient-Boosting for Federated Learning.

Hanchi Ren, Jingjing Deng, Xianghua Xie

CoRR, 2020