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Swarm-learning-hpe v0.2.0 is the second release of the decentralized, privacy-preserving Machine Learning (ML) framework, based on HPE platform. This release provides several improvements, new features and bug fixes. The repository now provides two working models: marugoto_mri and odelia-breast-mri for Attention MIL based model and 3D-CNN model respectively. Furthermore, there is a new automated workflow for keeping track of the ongoing processes in the repository. The issue section is updated for ease of use, so people can dump their ideas and raise any questions encountered when using this repo.
This release supports Ubuntu 20.04 LTS, which is the recommended operating system. There are specific hardware recommendations for the Swarm Learning Environment, such as 64 GB of RAM, 16 CPU cores, an NVIDIA GPU with 48 GB of RAM, and 8 TB of storage. We have tested the Swarm Learning Environment on Ubuntu 20.04 LTS, Ubuntu 22.04.2 LTS, and Ubuntu 20.04.5 LTS.
The release provides detailed instructions on how to install and set up the Swarm Learning Environment. The Install section of the readme file provides information on the prerequisites and how to set up the user and repository. The Usage section provides instructions on how to run Swarm Learning Nodes, check logs, and view results. The Troubleshooting section provides solutions to some of the most common issues that users might encounter while setting up the environment.
The repository also includes a Milestone section for keeping track of the project's progress, a NotionPage section for collaboration, and a Contributing section for guidelines on how to contribute to the project.
Swarm-learning-hpe v0.2.0 is maintained by the TUD Swarm learning team, with Jeff as the primary maintainer. This project exists thanks to all the people who contribute. The project uses the platform from the HewlettPackard/swarm-learning repository, created by HewlettPackard.
Swarm-learning-hpe v0.2.0 is released under the MIT license.
This discussion was created from the release Odelia WP1.
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Release Description v0.2.0:
Swarm-learning-hpe v0.2.0 is the second release of the decentralized, privacy-preserving Machine Learning (ML) framework, based on HPE platform. This release provides several improvements, new features and bug fixes. The repository now provides two working models: marugoto_mri and odelia-breast-mri for Attention MIL based model and 3D-CNN model respectively. Furthermore, there is a new automated workflow for keeping track of the ongoing processes in the repository. The issue section is updated for ease of use, so people can dump their ideas and raise any questions encountered when using this repo.
This release supports Ubuntu 20.04 LTS, which is the recommended operating system. There are specific hardware recommendations for the Swarm Learning Environment, such as 64 GB of RAM, 16 CPU cores, an NVIDIA GPU with 48 GB of RAM, and 8 TB of storage. We have tested the Swarm Learning Environment on Ubuntu 20.04 LTS, Ubuntu 22.04.2 LTS, and Ubuntu 20.04.5 LTS.
The release provides detailed instructions on how to install and set up the Swarm Learning Environment. The Install section of the readme file provides information on the prerequisites and how to set up the user and repository. The Usage section provides instructions on how to run Swarm Learning Nodes, check logs, and view results. The Troubleshooting section provides solutions to some of the most common issues that users might encounter while setting up the environment.
The repository also includes a Milestone section for keeping track of the project's progress, a NotionPage section for collaboration, and a Contributing section for guidelines on how to contribute to the project.
Swarm-learning-hpe v0.2.0 is maintained by the TUD Swarm learning team, with Jeff as the primary maintainer. This project exists thanks to all the people who contribute. The project uses the platform from the HewlettPackard/swarm-learning repository, created by HewlettPackard.
Swarm-learning-hpe v0.2.0 is released under the MIT license.
This discussion was created from the release Odelia WP1.
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