# Blogs and Publications

### 2025
* [Federated Discrete Denoising Diffusion Model for Molecular Generation with OpenFL](https://arxiv.org/abs/2501.12523)
* [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)
* [Collaborative evaluation for performance assessment of medical imaging applications](https://www.sciencedirect.com/science/article/abs/pii/B9780443237614000195)

### 2024
* [Pan-Cancer Tumor Infiltrating Lymphocyte Detection based on Federated Learning](https://ieeexplore.ieee.org/abstract/document/10825083)
* [Privacy preservation for federated learning in health care](https://www.cell.com/patterns/fulltext/S2666-3899(24)00082-5)

### 2022
* [Federated learning enables big data for rare cancer boundary detection, Dec 2022](https://www.nature.com/articles/s41467-022-33407-5)
* [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)
* [OpenFL: the open federated learning library, Oct 2022](https://iopscience.iop.org/article/10.1088/1361-6560/ac97d9/pdf)
* [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/)
* [A Path Towards Secure Federated Learning, Apr 2022](https://medium.com/openfl/a-path-towards-secure-federated-learning-c2fb16d5e66e)
* [MammoFL: Mammographic Breast Density Estimation using Federated Learning](https://arxiv.org/abs/2206.05575)
* [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)

### 2021
* [Go Federated with OpenFL: Put your Deep Learning pipeline on Federated rails, Oct 2021](https://towardsdatascience.com/go-federated-with-openfl-8bc145a5ead1)

### 2020
* [Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data, Jul 2020](https://www.nature.com/articles/s41598-020-69250-1)