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FedOps (fedops) is a platform that helps organizations effectively manage and coordinate their federated learning operations:

• FLScalize: It simplifies the application of data and models in a FL environment by leveraging Flower's Client and Server.

• Manager: The manager oversees and manages the real-time FL progress of both clients and server

• CE/CS: Contribution Evaluation and Client Selection processes based on their performance.

• CI/CD/CFL: the CI/CD/CFL system seamlessly integrates with a Code Repo, enabling code deployment to multiple clients and servers for continuous or periodic federated learning.

• Monitoring: The FL dashboard is available for monitoring and observing the lifecycle of FL clients and server

FedOps has developed a web service to manage the lifecycle operations of federated learning on real devices.

• Install FedOps Library

$ pip install fedops

• Start FedOps Silo
• Start FedOps Mobile

• Start FedOps Simualtion

FLScalize: Federated Learning Lifecycle Management

@article{Cognitive Computing Lab,
  title={FLScalize: Federated Learning Lifecycle Management},
  author={Semo Yang; Jihwan Moon; Jinsoo Kim; Kwangkee Lee; Kangyoon Lee}, 
  journal={IEEE Access},
  Page(s)={47212 - 47222}
  DOI={10.1109/ACCESS.2023.3275439}
  year={2023}
}

For any questions or issues, please contact the FedOps support team at [email protected]