.. _researcher_guide:

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Research Papers
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NVIDIA FLARE has been used in peer-reviewed research across medical imaging, federated optimization,
privacy analysis, and large language models. Reference implementations are available in the
`research directory on GitHub <https://github.com/NVIDIA/NVFlare/tree/main/research>`_.

Published Research
==================

- `FedNCA -- Equitable Federated Learning with NCA <https://github.com/NVIDIA/NVFlare/tree/main/research/FedNCA>`_ (MICCAI 2025)
- `FedBPT -- Efficient Federated Black-box Prompt Tuning for LLMs <https://github.com/NVIDIA/NVFlare/tree/main/research/fed-bpt>`_ (ICML 2024)
- `ConDistFL -- Conditional Distillation from Partially Annotated Data <https://github.com/NVIDIA/NVFlare/tree/main/research/condist-fl>`_ (DeCaF 2023)
- `FedOBD -- Opportunistic Block Dropout for Large-scale Neural Networks <https://github.com/NVIDIA/NVFlare/tree/main/research/fedobd>`_ (IJCAI 2023)
- `Fair Federated Medical Image Segmentation <https://github.com/NVIDIA/NVFlare/tree/main/research/fed-ce>`_ (CVPR 2023)
- `One-shot Vertical FL with Limited Overlapping Samples <https://github.com/NVIDIA/NVFlare/tree/main/research/one-shot-vfl>`_ (ICCV 2023)
- `FedSM -- Closing the Generalization Gap of Cross-silo FL <https://github.com/NVIDIA/NVFlare/tree/main/research/fed-sm>`_ (CVPR 2022)
- `Quantifying Data Leakage in Gradient Inversion Attacks <https://github.com/NVIDIA/NVFlare/tree/main/research/quantifying-data-leakage>`_ (IEEE TMI 2022)
- `Auto-FedRL -- Federated Hyperparameter Optimization <https://github.com/NVIDIA/NVFlare/tree/main/research/auto-fed-rl>`_ (ECCV 2022)
- `FedBN -- Federated Learning on Non-IID Features <https://github.com/NVIDIA/NVFlare/tree/main/research/fed-bn>`_ (ICLR 2021)
- `Privacy-preserving Federated Brain Tumour Segmentation <https://github.com/NVIDIA/NVFlare/tree/main/research/brats18>`_ (MLMI 2019)

Contributing
============

Interested in contributing your own federated learning research? See the
`research contribution guide <https://github.com/NVIDIA/NVFlare/tree/main/research/CONTRIBUTING.md>`_.