Yuan-Ting Hsieh

According to our database, Yuan-Ting Hsieh authored at least 6 papers between 2016 and 2025.

Collaborative distances:

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

2025

Secure Federated XGBoost with CUDA-Accelerated Homomorphic Encryption via NVIDIA FLARE.

Ziyue Xu, Yuan-Ting Hsieh, Zhihong Zhang, Holger R. Roth, Chester Chen, Yan Cheng, Andrew Feng

Proceedings of the IEEE Conference on Artificial Intelligence, 2025

2024

Supercharging Federated Learning with Flower and NVIDIA FLARE.

Holger R. Roth, Daniel J. Beutel, Yan Cheng, Javier Fernández-Marqués, Heng Pan, Chester Chen, Zhihong Zhang, Yuhong Wen, Sean Yang, Isaac Yang, Yuan-Ting Hsieh, Ziyue Xu, Daguang Xu, Nicholas D. Lane, Andrew Feng

CoRR, 2024

Empowering Federated Learning for Massive Models with NVIDIA FLARE.

Holger R. Roth, Ziyue Xu, Yuan-Ting Hsieh, Adithya Renduchintala, Isaac Yang, Zhihong Zhang, Yuhong Wen, Sean Yang, Kevin Lu, Kristopher Kersten, Camir Ricketts, Daguang Xu, Chester Chen, Yan Cheng, Andrew Feng

CoRR, 2024

2023

NVIDIA FLARE: Federated Learning from Simulation to Real-World.

Holger R. Roth, Yan Cheng, Yuhong Wen, Isaac Yang, Ziyue Xu, Yuan-Ting Hsieh, Kristopher Kersten, Ahmed Harouni, Can Zhao, Kevin Lu, Zhihong Zhang, Wenqi Li, Andriy Myronenko, Dong Yang, Sean Yang, Nicola Rieke, Abood Quraini, Chester Chen, Daguang Xu, Nic Ma, Prerna Dogra, Mona Flores, Andrew Feng

IEEE Data Eng. Bull., 2023

2017

Variation-Aware Reliable Many-Core System Design by Exploiting Inherent Core Redundancy.

Huai-Ting Li, Ching-Yao Chou, Yuan-Ting Hsieh, Wei-Ching Chu, An-Yeu Wu

IEEE Trans. Very Large Scale Integr. Syst., 2017

2016

Recognizing heterogeneous cross-domain data via generalized joint distribution adaptation.

Yuan-Ting Hsieh, Shi-Yen Tao, Yao-Hung Hubert Tsai, Yi-Ren Yeh, Yu-Chiang Frank Wang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2016