Top 3 Jupyter Notebook federated-learning Projects
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We have petals.ml for distributing running a single model large model for inference. We have [flower](flower.dev),tensor flow federated,openfl, etc for building federated learning.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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AL-based-FL-for-Multi-Task-Disaster-Detection-Model
We design a multi-task model for joint disaster classification and victim detection. We train the model using both the Centralized Learning (CL) and Federated Learning (FL) methods. We also tried Active Learning (AL) to see how it could help in reducing the labeling workload for disaster dataset. Lastly, we optimized the model using OpenVINO.
Project mention: Multi-task learning model for joint detection and classification | /r/pythonhelp | 2023-09-13Hello, I am currently working on a project that performs both detection and classification using an MTL model. I am trying to use this approach (https://github.com/yjwong1999/AL-based-FL-for-Multi-Task-Disaster-Detection-Model/blob/main/CL/FYP-YOLOv3.ipynb). However, instead of using YOLOv3, I am using YOLOv7 instead. I also plan to use other classification models aside from MobileNetV3. I am trying to understand the code in the link but I am stuck on how to transition it into YOLOv7. I desperately need help as I have less than 2 week for the project. Any help would be appreciated. Thank you.
Index
What are some of the best open-source federated-learning projects in Jupyter Notebook? This list will help you:
Project | Stars | |
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1 | openfl | 649 |
2 | BDE | 22 |
3 | AL-based-FL-for-Multi-Task-Disaster-Detection-Model | 8 |