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Publications and Talks
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Publications
============
Non-exhaustive list of papers and publications related to NVIDIA FLARE, 
including papers using NVIDIA FLARE's predecessor libraries included in the `Clara Train SDK <https://catalog.ngc.nvidia.com/orgs/nvidia/containers/clara-train-sdk>`__.

Publications: 2026
~~~~~~~~~~~~~~~~~~
* **2026-03** `Privacy-Preserving Federated Fraud Detection in Payment Transactions with NVIDIA FLARE <https://arxiv.org/abs/2603.13617>`__ (preprint)
* **2026-02** `Standardized Methods and Recommendations for Green Federated Learning <https://arxiv.org/abs/2602.00343>`__ (preprint)
* **2026-01** `FedUMM: A General Framework for Federated Learning with Unified Multimodal Models <https://arxiv.org/abs/2601.15390>`__ (`FL@FM 2026 <https://federated-learning.org/fl@fm-www-2026/>`__)
* **2026-01** `FeTTL: Federated Template and Task Learning for Multi-Institutional Medical Imaging <https://arxiv.org/abs/2601.16302>`__ (preprint)

Publications: 2025
~~~~~~~~~~~~~~~~~~
* **2025-11** `Reviving Stale Updates: Data-Free Knowledge Distillation for Asynchronous Federated Learning <https://arxiv.org/abs/2511.00655>`__ (preprint)
* **2025-09** `Equitable Federated Learning with NCA <https://arxiv.org/abs/2506.21735>`__ (`MICCAI 2025 <https://papers.miccai.org/miccai-2025/0306-Paper2510.html>`__)
* **2025-05** `Secure Federated XGBoost with CUDA-Accelerated Homomorphic Encryption via NVIDIA FLARE <https://arxiv.org/abs/2504.03909>`__ (`CAI 2025 <https://ieeexplore.ieee.org/abstract/document/11050584>`__)
* **2025-04** `Empowering Federated Learning for Massive Models with NVIDIA FLARE <https://arxiv.org/abs/2402.07792>`__ (`Federated Learning Systems: Towards Privacy-Preserving Distributed AI <https://link.springer.com/book/10.1007/978-3-031-78841-3>`__)
* **2025-03** `Supercharging Federated Learning with Flower and NVIDIA FLARE <https://arxiv.org/abs/2407.00031>`__ (`Federated Learning in the Age of Foundation Models - FL 2024 International Workshops <https://link.springer.com/book/10.1007/978-3-031-82240-7>`__)

Publications: 2024
~~~~~~~~~~~~~~~~~~
* **2024-12** `C-FedRAG: A Confidential Federated Retrieval-Augmented Generation System <https://arxiv.org/abs/2412.13163>`__ (preprint)
* **2024-11** `Toward a tipping point in federated learning in healthcare and life sciences <https://www.sciencedirect.com/science/article/pii/S2666389924002368>`__ (`Patterns, Volume 5, Issue 11, 2024, <https://www.sciencedirect.com/journal/patterns>`__)
* **2024-07** `FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models <https://arxiv.org/abs/2310.01467>`__ (`ICML 2024 <https://icml.cc/virtual/2024/poster/34753>`__)
* **2024-07** `Fair evaluation of federated learning algorithms for automated breast density classification: The results of the 2022 ACR-NCI-NVIDIA federated learning challenge <https://arxiv.org/abs/2405.14900>`__ (`Medical Image Analysis, Volume 95, July 2024 <https://www.sciencedirect.com/science/article/abs/pii/S1361841524001312>`__)
* **2024-07** `Easy and Scalable Federated Learning in the Age of Large Language Models with NVIDIA FLARE <https://federated-learning.org/fl@fm-icme-2024/HRoth.pdf>`__ (`FL@FM-ICME'24 <https://federated-learning.org/fl@fm-icme-2024/#k3>`__)
* **2024-06** `FedHCA2: Towards Hetero-Client Federated Multi-Task Learning <https://arxiv.org/abs/2311.13250>`__ (`CVPR 2024 <https://openaccess.thecvf.com/content/CVPR2024/html/Lu_FedHCA2_Towards_Hetero-Client_Federated_Multi-Task_Learning_CVPR_2024_paper.html>`__)
* **2024-05** `Federated Learning Privacy: Attacks, Defenses, Applications, and Policy Landscape - A Survey <https://arxiv.org/abs/2405.03636>`__ (preprint)
* **2024-05** `An in-depth evaluation of federated learning on biomedical natural language processing for information extraction <https://www.nature.com/articles/s41746-024-01126-4>`__ (`Nature Digital Medicine 7, 127, 2024 <https://www.nature.com/npjdigitalmed>`__)

Publications: 2023
~~~~~~~~~~~~~~~~~~
* **2023-10** `Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples <https://arxiv.org/abs/2303.16270>`__ (`ICCV 2023 <https://iccv2023.thecvf.com/>`__)
* **2023-10** `FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models <https://arxiv.org/abs/2310.01467>`__ (preprint)
* **2023-10** `ConDistFL: Conditional Distillation for Federated Learning from Partially Annotated Data <https://arxiv.org/abs/2308.04070>`__ (`DeCaF @ MICCAI 2023 <https://decaf-workshop.github.io/decaf-2023/>`__)
* **2023-08** `FedOBD: Opportunistic Block Dropout for Efficiently Training Large-scale Neural Networks through Federated Learning <https://arxiv.org/abs/2208.05174>`__ (`IJCAI 2023 <https://www.ijcai.org/proceedings/2023/394>`__)
* **2023-06** `Fair Federated Medical Image Segmentation via Client Contribution Estimation <https://arxiv.org/abs/2303.16520>`__ (`CVPR 2023 <https://cvpr2023.thecvf.com/Conferences/2023/>`__)
* **2023-03** `FLARE: Federated Learning from Simulation to Real-World <https://arxiv.org/abs/2210.13291>`__ (`IEEE Data Eng. Bull. March 2023, Vol. 46, No. 1, <http://sites.computer.org/debull/A23mar/issue1.htm>`__)

Publications: 2022
~~~~~~~~~~~~~~~~~~
* **2022-10** `Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation <https://arxiv.org/abs/2203.06338>`__ (`ECCV 2022 <https://eccv2022.ecva.net/>`__)
* **2022-10** `Joint Multi Organ and Tumor Segmentation from Partial Labels Using Federated Learning <https://link.springer.com/chapter/10.1007/978-3-031-18523-6_6>`__ (`DeCaF @ MICCAI 2022 <https://decaf-workshop.github.io/decaf-2022/>`__)
* **2022-10** `Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative Multi-modal Brain Tumor Segmentation <https://arxiv.org/abs/2208.10553>`__ (`DeCaF @ MICCAI 2022 <https://decaf-workshop.github.io/decaf-2022/>`__)
* **2022-06** `Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation <https://openaccess.thecvf.com/content/CVPR2022/papers/Xu_Closing_the_Generalization_Gap_of_Cross-Silo_Federated_Medical_Image_Segmentation_CVPR_2022_paper.pdf>`__ (CVPR 2022)
* **2022-02** `Do Gradient Inversion Attacks Make Federated Learning Unsafe? <https://arxiv.org/abs/2202.06924>`__ (Preprint)

Publications: 2021
~~~~~~~~~~~~~~~~~~
* **2021-10** `Federated whole prostate segmentation in mri with personalized neural architectures <https://arxiv.org/abs/2107.08111>`__ (`MICCAI 2021 <https://www.miccai2021.org/en/>`__)
* **2021-10** `Multi-task Federated Learning for Heterogeneous Pancreas Segmentation <https://arxiv.org/abs/2108.08537>`__ (`DCL @ MICCAI 2021 <https://dcl-workshop.github.io/>`__)
* **2021-09** `Federated learning for predicting clinical outcomes in patients with COVID-19 <https://www.nature.com/articles/s41591-021-01506-3>`__ (`Nature Medicine <https://www.nature.com/nm/>`__)
* **2021-06** `Federated learning improves site performance in multicenter deep learning without data sharing <https://academic.oup.com/jamia/article-abstract/28/6/1259/6127556>`__ (`JAMIA <https://academic.oup.com/jamia>`__)
* **2021-05** `Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan <https://www.sciencedirect.com/science/article/pii/S1361841521000384>`__ (`Medical Image Analysis <https://www.sciencedirect.com/journal/medical-image-analysis>`__)
* **2021-04** `Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation <https://arxiv.org/abs/2104.10195>`__ (Preprint)

Publications: 2020
~~~~~~~~~~~~~~~~~~
* **2020-10** `Federated Learning for Breast Density Classification: A Real-World Implementation <https://arxiv.org/abs/2009.01871>`__ (`DCL @ MICCAI 2020 <https://dcl-workshop.github.io/dcl2020/index.html>`__)
* **2020-10** `Automated pancreas segmentation using multi-institutional collaborative deep learning <https://arxiv.org/abs/2009.13148>`__ (`DCL @ MICCAI 2020 <https://dcl-workshop.github.io/dcl2020/index.html>`__)

Publications: 2019
~~~~~~~~~~~~~~~~~~
* **2019-10** `Privacy-preserving Federated Brain Tumour Segmentation <https://arxiv.org/abs/1910.00962>`__ (`MLMI @ MICCAI 2019 <https://mlmi2019.web.unc.edu/>`__)

Blogs & Videos
--------------
NVIDIA FLARE related blogs and other media.

Blogs & Videos: 2025
~~~~~~~~~~~~~~~~~~~~
* **2025-10** `Training Federated AI Models to Predict Protein Properties <https://developer.nvidia.com/blog/training-federated-ai-models-to-predict-protein-properties/>`__ (NVIDIA Technical Blog)
* **2025-04** `Efficient Federated Learning in the Era of LLMs with Message Quantization and Streaming <https://developer.nvidia.com/blog/efficient-federated-learning-in-the-era-of-llms-with-message-quantization-and-streaming/>`__ (NVIDIA Technical Blog)
* **2025-04** `Effortless Federated Learning on Mobile with NVIDIA FLARE and Meta ExecuTorch <https://developer.nvidia.com/blog/effortless-federated-learning-on-mobile-with-nvidia-flare-and-meta-executorch/>`__ (NVIDIA Technical Blog)
* **2025-03** `Supercharging the Federated Learning Ecosystem by Integrating Flower and NVIDIA FLARE <https://developer.nvidia.com/blog/supercharging-the-federated-learning-ecosystem-by-integrating-flower-and-nvidia-flare/>`__ (NVIDIA Technical Blog)

Blogs & Videos: 2024
~~~~~~~~~~~~~~~~~~~~
* **2024-10** `Federated Learning in Autonomous Vehicles Using Cross-Border Training <https://developer.nvidia.com/blog/federated-learning-in-autonomous-vehicles-using-cross-border-training/>`__ (NVIDIA Technical Blog)
* **2024-06** `Federated XGBoost Made Practical and Productive with NVIDIA FLARE <https://developer.nvidia.com/blog/federated-xgboost-made-practical-and-productive-with-nvidia-flare/>`__ (NVIDIA Technical Blog)
* **2024-04** `Differential Privacy and Federated Learning for Medical Data <https://towardsdatascience.com/differential-privacy-and-federated-learning-for-medical-data-0f2437d6ece9>`__ (Roche Technical Blog)
* **2024-03** `Announcing NVIDIA and Flower Collaboration <https://flower.ai/blog/2024-03-15-announcing-nvidia-and-flower-collaboration/>`__ (Flower Blog)
* **2024-03** `Turning Machine Learning to Federated Learning in Minutes with NVIDIA FLARE 2.4 <https://developer.nvidia.com/blog/turning-machine-learning-to-federated-learning-in-minutes-with-nvidia-flare-2-4/>`__ (NVIDIA Technical Blog)
* **2024-02** `Scalable Federated Learning with NVIDIA FLARE for Enhanced LLM Performance <https://developer.nvidia.com/blog/scalable-federated-learning-with-nvidia-flare-for-enhanced-llm-performance/>`__ (NVIDIA Technical Blog)

Blogs & Videos: 2023
~~~~~~~~~~~~~~~~~~~~
* **2023-09** `Preventing Health Data Leaks with Federated Learning Using NVIDIA FLARE <https://developer.nvidia.com/blog/preventing-health-data-leaks-with-federated-learning-using-nvidia-flare/>`__ (Roche Technical Blog)
* **2023-07** `Adapting LLMs to Downstream Tasks Using Federated Learning on Distributed Datasets <https://developer.nvidia.com/blog/adapting-llms-to-downstream-tasks-using-federated-learning-on-distributed-datasets/>`__ (NVIDIA Technical Blog)
* **2023-06** `Boost Your AI Workflows with Federated Learning Enabled by NVIDIA FLARE <https://developer.nvidia.com/blog/boost-your-ai-workflows-with-federated-learning-enabled-by-nvidia-flare/>`__ (NVIDIA Technical Blog)
* **2023-06** `Applying Federated Learning to Traditional Machine Learning Methods <https://developer.nvidia.com/blog/applying-federated-learning-to-traditional-machine-learning-methods/>`__ (NVIDIA Technical Blog)
* **2023-02** `AI/ML for Business Executives <https://medium.com/my-aiml/ai-ml-for-business-executives-january-february-2023-9044c2cabf53>`__ (Medium Blog)
* **2023-01** `FATE, Flower, PySyft & Co. — Federated Learning Frameworks in Python <https://medium.com/elca-it/flower-pysyft-co-federated-learning-frameworks-in-python-b1a8eda68b0d>`__ (Medium Blog)

Blogs & Videos: 2022
~~~~~~~~~~~~~~~~~~~~
* **2022-10** `Federated Learning from Simulation to Production with NVIDIA FLARE <https://developer.nvidia.com/blog/federated-learning-from-simulation-to-production-with-nvidia-flare/>`__ (NVIDIA Technical Blog)
* **2022-08** `Using Federated Learning to Bridge Data Silos in Financial Services <https://developer.nvidia.com/blog/using-federated-learning-to-bridge-data-silos-in-financial-services/>`__ (NVIDIA Technical Blog)
* **2022-06** `Experimenting with Novel Distributed Applications Using NVIDIA Flare 2.1 <https://developer.nvidia.com/blog/experimenting-with-novel-distributed-applications-using-nvidia-flare-2-1/>`__ (NVIDIA Technical Blog)
* **2022-03** `Flywheel & NVIDIA FLARE Demo <https://youtu.be/v-EKZC4yvY4?si=5U_xZ_WKKb8AkCgT>`__ (`Flywheel <https://flywheel.io/>`__  Video)

Blogs & Videos: 2021
~~~~~~~~~~~~~~~~~~~~
* **2021-11** `Creating Robust and Generalizable AI Models with NVIDIA FLARE <https://developer.nvidia.com/blog/creating-robust-and-generalizable-ai-models-with-nvidia-flare/>`__ (NVIDIA Technical Blog)
* **2021-11** `Federated Learning for Healthcare AI: NVIDIA and Rhino Health Accelerate Research Collaborations <https://youtu.be/ytmwx1V0XK0?si=hP7Cvg15aXjkDNd6>`__ (`Rhino Health <https://www.rhinofcp.com/>`__ Video)
* **2021-11** `Federated Learning With FLARE: NVIDIA Brings Collaborative AI to Healthcare and Beyond <https://blogs.nvidia.com/blog/federated-learning-ai-nvidia-flare/>`__ (NVIDIA Blog)
* **2021-09** `Federated Learning for Medical AI and Triaging COVID-19 Patients <https://www.youtube.com/watch?v=cOXVrtkv6FE>`__ (NVIDIA Video)
* **2021-09** `Federated Learning for Healthcare Using NVIDIA Clara <https://developer.download.nvidia.com/CLARA/Federated-Learning-Training-for-Healthcare-Using-NVIDIA-Clara.pdf>`__ (NVIDIA White Paper)
* **2021-06** `Federated Learning with Homomorphic Encryption <https://developer.nvidia.com/blog/federated-learning-with-homomorphic-encryption/>`__ (NVIDIA Technical Blog)
* **2021-05** `Applying a MLOps approach to Federated learning using ML Flow with NV Flare: A Healthcare use case <https://medium.com/dataroots/applying-a-mlops-approach-to-federated-learning-using-ml-flow-with-nv-flare-a-healthcare-use-case-b703f46224ef>`__ (Medium Blog)

Blogs & Videos: 2019
~~~~~~~~~~~~~~~~~~~~
* **2019-12** `Federated Learning powered by NVIDIA Clara <https://developer.nvidia.com/blog/federated-learning-clara/>`__ (NVIDIA Technical Blog)
* **2019-10** `What is federated learning - in Chinese <https://blogs.nvidia.com.tw/blog/what-is-federated-learning/>`__ (NVIDIA Technical Blog)
* **2019-10** `NVIDIA Research: First Privacy-Preserving Federated Learning System for Medical Imaging <https://www.youtube.com/watch?v=Jy7ozgwovgg>`__ (NVIDIA Video)

Talks
-----
Recent talks and Webinars covering federated learning research and NVIDIA FLARE.

Talks: 2024
~~~~~~~~~~~
* **2024-12** `Real-world Federated Learning with NVIDIA FLARE <https://ucsf.zoom.us/rec/share/ncALLA6B583mh7_Lrj4aPgA-qsonqVq5-Ufi5XZCMm6vH-uK5nVYXyVlsexE5KbC.LAYkmvF-sm-yYjTB?startTime=1733957588000>`__ [Passcode: !Ms8Tw.u8H] (`UCSF Biostatistics and Bioinformatics Seminar <https://epibiostat.ucsf.edu/events/real-world-federated-learning-nvidia-flare>`__)
* **2024-04** `Federated Learning: Towards Real-world Studies <https://youtu.be/3ELbZYwy3bI?t=2474>`__ (`SFBigAnalytics Meetup <https://www.meetup.com/sfbay-ai/events/300302421/>`__)
* **2024-03** `Empowering Federated Learning for Massive Models with NVIDIA FLARE <https://youtu.be/-P2ML9Kw0FA>`__ (`SFBigAnalytics Meetup <https://www.meetup.com/sfbay-ai/events/299337374/>`__)

Talks: 2023
~~~~~~~~~~~
* **2023-07** `Federated Learning <https://youtu.be/4ezr1MfpEWs?si=ZSaNteIxEuYjXlgi>`__ (`MONAI MIDL Meetup 2023 <https://2023.midl.io/monai-workshop>`__)
* **2023-01** `MONAI Federated Learning APIs (and their use with NVIDIA FLARE) <https://youtu.be/18Fmmyx-QXE>`__ (`MONAI Bootcamp 2023 <https://events.nvidia.com/janmonaibootcamp>`__)

Talks: 2022
~~~~~~~~~~~
* **2022-11** `Federated Learning with Azure Machine Learning <https://www.youtube.com/watch?v=aTj4AqbCWEA>`__ (Microsoft Developer Video)
* **2022-10** `Modern Tools for Collaborative Medical Image Analysis <https://drive.google.com/file/d/1hmlyG7g1SU8vhQ5wdTFhkqFO9Ty8BiYG/view?usp=sharing>`__ (`Keynote - DART @ MICCAI 2022 <https://sites.google.com/view/dart2022/home?authuser=0>`__) 
* **2022-07** `NVIDIA FLARE Tutorial for Beginners <https://www.youtube.com/watch?v=8x7oY3xAgek&t=11s&ab_channel=NVIDIADeveloper>`__ (United Imaging Meetup)
* **2022-07** `Techniques and Tools for Collaborative Development of AI Models across Institutes <https://www.bilibili.com/video/BV1y14y147nc/?spm_id_from=333.337.search-card.all.click>`__ (`VALSE Webinar <https://valser.org/article-572-1.html>`__)
* **2022-04** `Advanced Techniques for Collaborative Development of AI Models for Medical Imaging <https://rensselaer.webex.com/recordingservice/sites/rensselaer/recording/dd67440ba9f2103abaf900505681a58c/playback>`__ (`IEEE EMBS Webinar Series <https://sites.google.com/view/ieee-biip-webinars/webinar-speakers>`__)
* **2022-03** `NVIDIA FLARE: Federated Learning Application Runtime Environment for Developing Robust AI Models <https://youtu.be/lLeULNI1nT8>`__ (`SFBigAnalytics Meetup <https://www.meetup.com/sf-big-analytics/?_cookie-check=Efm7MGh7mO4YiV8A>`__)
* **2022-01** `Techniques for Collaborative Development of AI Models in the Age of COVID-19 <https://www.youtube.com/watch?v=ymfXmyuTvlA>`__ (`MICCAI Industrial Talk Series <https://www.youtube.com/channel/UCLSO1_i9UtDGfsaKQyqhJTQ>`__)

Talks: 2021
~~~~~~~~~~~
* **2021-09** `Federated Learning <https://www.youtube.com/watch?v=YeYO4JGTBb0>`__ (MONAI MICCAI Bootcamp 2021)
* **2021-03** `NVIDIA FLARE: An Open Federated Learning Platform <https://www.nvidia.com/en-us/on-demand/session/gtcspring22-se1991/>`__ (`GTC Spring 2022 <https://www.nvidia.com/gtc/>`__)
* **2021-03** `Federated Learning for Healthcare – Collaborative AI without Sharing Patient Data  <https://www.youtube.com/watch?v=xr_eJp3ctzw>`__ (Data Science Seminar)

Talks: 2020
~~~~~~~~~~~
* **2020-11** `Federated Learning for Medical Imaging - in Chinese <https://www.youtube.com/watch?v=CiPdALrNEjU>`__ (NVIDIA Taiwan)