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Added conda installation instructions (#1508)
* added publications Signed-off-by: sarthakpati <[email protected]> * added conda installation instructions Signed-off-by: sarthakpati <[email protected]> --------- Signed-off-by: sarthakpati <[email protected]>
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README.md

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<div align="center">
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[![PyPI version](https://img.shields.io/pypi/v/openfl)](https://pypi.org/project/openfl/)
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[![Conda version](https://img.shields.io/conda/vn/conda-forge/openfl?color=green)](https://anaconda.org/conda-forge/openfl)
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[![Downloads](https://pepy.tech/badge/openfl)](https://pepy.tech/project/openfl)
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[![Documentation Status](https://readthedocs.org/projects/openfl/badge/?version=latest)](https://openfl.readthedocs.io/en/latest/?badge=latest)
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[<img src="https://img.shields.io/badge/[email protected]?logo=slack">](https://join.slack.com/t/openfl/shared_invite/zt-ovzbohvn-T5fApk05~YS_iZhjJ5yaTw)
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```
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pip install -U openfl
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```
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Or via conda:
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```
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conda install conda-forge::openfl
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```
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For more installation options, checkout the [installation guide](https://openfl.readthedocs.io/en/latest/installation.html).
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## Features
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doi={10.1088/1361-6560/ac97d9},
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publisher={IOP Publishing}
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}
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```
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```

docs/about/blogs_publications.md

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### 2025
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* [Federated Discrete Denoising Diffusion Model for Molecular Generation with OpenFL](https://arxiv.org/abs/2501.12523)
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* [Confidential Federated Learning with OpenFL - Intel Blog](https://community.intel.com/t5/Blogs/Tech-Innovation/Artificial-Intelligence-AI/Confidential-Federated-Learning-with-OpenFL/post/1658148)
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* [Collaborative evaluation for performance assessment of medical imaging applications](https://www.sciencedirect.com/science/article/abs/pii/B9780443237614000195)
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### 2024
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* [Pan-Cancer Tumor Infiltrating Lymphocyte Detection based on Federated Learning](https://ieeexplore.ieee.org/abstract/document/10825083)
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* [Privacy preservation for federated learning in health care](https://www.cell.com/patterns/fulltext/S2666-3899(24)00082-5)
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### 2022
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* [Federated learning enables big data for rare cancer boundary detection, Dec 2022](https://www.nature.com/articles/s41467-022-33407-5)
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* [How OpenFL Can Boost Your Federated Learning Project, 2022](https://www.intel.com/content/www/us/en/developer/articles/technical/how-openfl-boost-your-federated-learning-project.html)
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* [OpenFL: the open federated learning library, Oct 2022](https://iopscience.iop.org/article/10.1088/1361-6560/ac97d9/pdf)
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* [Federated Learning With OpenFL for Microservices Applications, Aug 2022](https://blogs.vmware.com/opensource/2022/08/31/federated-learning-with-openfl-for-microservices-applications-2/)
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* [A Path Towards Secure Federated Learning, Apr 2022](https://medium.com/openfl/a-path-towards-secure-federated-learning-c2fb16d5e66e)
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* [MammoFL: Mammographic Breast Density Estimation using Federated Learning](https://arxiv.org/abs/2206.05575)
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* [The Federated Tumor Segmentation (FeTS) tool: an open-source solution to further solid tumor research](https://iopscience.iop.org/article/10.1088/1361-6560/ac9449/meta)
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### 2021
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* [Go Federated with OpenFL: Put your Deep Learning pipeline on Federated rails, Oct 2021](https://towardsdatascience.com/go-federated-with-openfl-8bc145a5ead1)
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### 2020
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* [Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data, Jul 2020](https://www.nature.com/articles/s41598-020-69250-1)
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* [Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data, Jul 2020](https://www.nature.com/articles/s41598-020-69250-1)

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