Alert button
Picture for Holger R. Roth

Holger R. Roth

Alert button

Federated Learning Privacy: Attacks, Defenses, Applications, and Policy Landscape - A Survey

Add code
Bookmark button
Alert button
May 06, 2024
Joshua C. Zhao, Saurabh Bagchi, Salman Avestimehr, Kevin S. Chan, Somali Chaterji, Dimitris Dimitriadis, Jiacheng Li, Ninghui Li, Arash Nourian, Holger R. Roth

Viaarxiv icon

Empowering Federated Learning for Massive Models with NVIDIA FLARE

Add code
Bookmark button
Alert button
Feb 12, 2024
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

Viaarxiv icon

FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models

Add code
Bookmark button
Alert button
Oct 02, 2023
Jingwei Sun, Ziyue Xu, Hongxu Yin, Dong Yang, Daguang Xu, Yiran Chen, Holger R. Roth

Figure 1 for FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models
Figure 2 for FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models
Figure 3 for FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models
Figure 4 for FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models
Viaarxiv icon

ConDistFL: Conditional Distillation for Federated Learning from Partially Annotated Data

Add code
Bookmark button
Alert button
Aug 08, 2023
Pochuan Wang, Chen Shen, Weichung Wang, Masahiro Oda, Chiou-Shann Fuh, Kensaku Mori, Holger R. Roth

Figure 1 for ConDistFL: Conditional Distillation for Federated Learning from Partially Annotated Data
Figure 2 for ConDistFL: Conditional Distillation for Federated Learning from Partially Annotated Data
Figure 3 for ConDistFL: Conditional Distillation for Federated Learning from Partially Annotated Data
Figure 4 for ConDistFL: Conditional Distillation for Federated Learning from Partially Annotated Data
Viaarxiv icon

DeepEdit: Deep Editable Learning for Interactive Segmentation of 3D Medical Images

Add code
Bookmark button
Alert button
May 18, 2023
Andres Diaz-Pinto, Pritesh Mehta, Sachidanand Alle, Muhammad Asad, Richard Brown, Vishwesh Nath, Alvin Ihsani, Michela Antonelli, Daniel Palkovics, Csaba Pinter, Ron Alkalay, Steve Pieper, Holger R. Roth, Daguang Xu, Prerna Dogra, Tom Vercauteren, Andrew Feng, Abood Quraini, Sebastien Ourselin, M. Jorge Cardoso

Viaarxiv icon

Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples

Add code
Bookmark button
Alert button
Mar 30, 2023
Jingwei Sun, Ziyue Xu, Dong Yang, Vishwesh Nath, Wenqi Li, Can Zhao, Daguang Xu, Yiran Chen, Holger R. Roth

Figure 1 for Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples
Figure 2 for Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples
Figure 3 for Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples
Figure 4 for Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples
Viaarxiv icon

MONAI: An open-source framework for deep learning in healthcare

Add code
Bookmark button
Alert button
Nov 04, 2022
M. Jorge Cardoso, Wenqi Li, Richard Brown, Nic Ma, Eric Kerfoot, Yiheng Wang, Benjamin Murrey, Andriy Myronenko, Can Zhao, Dong Yang, Vishwesh Nath, Yufan He, Ziyue Xu, Ali Hatamizadeh, Wentao Zhu, Yun Liu, Mingxin Zheng, Yucheng Tang, Isaac Yang, Michael Zephyr, Behrooz Hashemian, Sachidanand Alle, Mohammad Zalbagi Darestani, Charlie Budd, Marc Modat, Tom Vercauteren, Guotai Wang, Yiwen Li, Yipeng Hu, Yunguan Fu, Benjamin Gorman, Hans Johnson, Brad Genereaux, Barbaros S. Erdal, Vikash Gupta, Andres Diaz-Pinto, Andre Dourson, Lena Maier-Hein, Paul F. Jaeger, Michael Baumgartner, Jayashree Kalpathy-Cramer, Mona Flores, Justin Kirby, Lee A. D. Cooper, Holger R. Roth, Daguang Xu, David Bericat, Ralf Floca, S. Kevin Zhou, Haris Shuaib, Keyvan Farahani, Klaus H. Maier-Hein, Stephen Aylward, Prerna Dogra, Sebastien Ourselin, Andrew Feng

Figure 1 for MONAI: An open-source framework for deep learning in healthcare
Figure 2 for MONAI: An open-source framework for deep learning in healthcare
Figure 3 for MONAI: An open-source framework for deep learning in healthcare
Figure 4 for MONAI: An open-source framework for deep learning in healthcare
Viaarxiv icon

NVIDIA FLARE: Federated Learning from Simulation to Real-World

Add code
Bookmark button
Alert button
Oct 24, 2022
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

Figure 1 for NVIDIA FLARE: Federated Learning from Simulation to Real-World
Figure 2 for NVIDIA FLARE: Federated Learning from Simulation to Real-World
Figure 3 for NVIDIA FLARE: Federated Learning from Simulation to Real-World
Figure 4 for NVIDIA FLARE: Federated Learning from Simulation to Real-World
Viaarxiv icon

Warm Start Active Learning with Proxy Labels \& Selection via Semi-Supervised Fine-Tuning

Add code
Bookmark button
Alert button
Sep 13, 2022
Vishwesh Nath, Dong Yang, Holger R. Roth, Daguang Xu

Figure 1 for Warm Start Active Learning with Proxy Labels \& Selection via Semi-Supervised Fine-Tuning
Figure 2 for Warm Start Active Learning with Proxy Labels \& Selection via Semi-Supervised Fine-Tuning
Figure 3 for Warm Start Active Learning with Proxy Labels \& Selection via Semi-Supervised Fine-Tuning
Figure 4 for Warm Start Active Learning with Proxy Labels \& Selection via Semi-Supervised Fine-Tuning
Viaarxiv icon

Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative Multi-Modal Brain Tumor Segmentation

Add code
Bookmark button
Alert button
Aug 22, 2022
Holger R. Roth, Ali Hatamizadeh, Ziyue Xu, Can Zhao, Wenqi Li, Andriy Myronenko, Daguang Xu

Figure 1 for Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative Multi-Modal Brain Tumor Segmentation
Figure 2 for Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative Multi-Modal Brain Tumor Segmentation
Figure 3 for Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative Multi-Modal Brain Tumor Segmentation
Figure 4 for Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative Multi-Modal Brain Tumor Segmentation
Viaarxiv icon