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English | 简体中文
Sedna is an edge-cloud synergy AI project incubated in KubeEdge SIG AI. Benefiting from the edge-cloud synergy capabilities provided by KubeEdge, Sedna can implement across edge-cloud collaborative training and collaborative inference capabilities, such as joint inference, incremental learning, and federated learning. Sedna supports popular AI frameworks, such as TensorFlow, Pytorch, PaddlePaddle, MindSpore.
Sedna can simply enable edge-cloud synergy capabilities to existing training and inference scripts, bringing the benefits of reducing costs, improving model performance, and protecting data privacy.
Sedna has the following features:
Provide the edge-cloud synergy AI framework.
Provide edge-cloud synergy training and inference frameworks.
Compatibility
Sedna consists of the following components:
Follow the Sedna installation document to install Sedna.
Example1:Using Joint Inference Service in Helmet Detection Scenario.
Example2:Using Incremental Learning Job in Helmet Detection Scenario.
Example3:Using Federated Learning Job in Surface Defect Detection Scenario.
Regular Community Meeting:
Resources:
If you have questions, feel free to reach out to us in the following ways:
Sedna is under the Apache 2.0 license. See the LICENSE file for details.
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Dear OpenI User
Thank you for your continuous support to the Openl Qizhi Community AI Collaboration Platform. In order to protect your usage rights and ensure network security, we updated the Openl Qizhi Community AI Collaboration Platform Usage Agreement in January 2024. The updated agreement specifies that users are prohibited from using intranet penetration tools. After you click "Agree and continue", you can continue to use our services. Thank you for your cooperation and understanding.
For more agreement content, please refer to the《Openl Qizhi Community AI Collaboration Platform Usage Agreement》